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Since testers began interacting with Microsoft’s ChatGPT-enabled Bing AI assistant last week, they’ve been getting some surreal responses. But the chatbot is not really freaking out. It doesn’t want to hack everything. It is not in love with you. Critics warn that this increasing focus on the chatbots’ supposed hidden personalities, agendas, and desires promotes ghosts in the machines that don’t exist. What’s more, experts warn that the continued anthropomorphization of generative AI chatbots is a distraction from more serious and immediate dangers of the developing technology.

“What we’re getting… from some of the world’s largest journalistic institutions has been something I would liken to slowing down on the highway to get a better look at a wreck,” says Jared Holt, a researcher at the Institute for Strategic Dialogue, an independent think tank focused on extremism and disinformation. To Holt, companies like Microsoft and Google are overhyping their products’ potentials despite serious flaws in their programs.

[Related: Just because an AI can hold a conversation does not make it smart.]

Within a week after their respective debuts, Google’s Bard and Microsoft’s ChatGPT-powered Bing AI assistant were shown to generate incomprehensible and inaccurate responses. These issues alone should have paused product rollouts, especially in an online ecosystem already rife with misinformation and unreliable sourcing. 

Though human-programmed limits should technically prohibit the chatbots from generating hateful content, they can be easily bypassed. “I’ll put it this way: If a handful of bored Redditors can figure out how to make your chatbot spew out vitriolic rhetoric, perhaps that technology is not ready to enter every facet of our lives,” Holt says.

Part of this problem resides in how we choose to interpret the technology. “It is tempting in our attention economy for journalists to endorse the idea that an overarching, multi-purpose intelligence might be behind these tools,” Jenna Burrell, the Director of Research at Data & Society, tells PopSci. As Burrell wrote in an essay last week, “When you think of ChatGPT, don’t think of Shakespeare, think of autocomplete. Viewed in this light, ChatGPT doesn’t know anything at all.”

[Related: A simple guide to the expansive world of artificial intelligence. ]

ChatGPT and Bard simply cannot develop personalities—they don’t even understand what “personality” is, other than a string of letters to be used in pattern recognition drawn from vast troves of online text. They calculate what they believe to be the next likeliest word in a sentence, plug it in, and repeat ad nauseam. It’s a “statistical learning machine,” more than a new pen pal, says Brendan Dolan-Gavitt, an assistant professor in NYU Tandon’s Computer Science and Engineering Department. “At the moment, we don’t really have any indication that the AI has an ‘inner experience,’ or a personality, or something like that,” he says.

Bing’s convincing imitation of self-awareness, however, could pose “probably a bit of danger,” with some people becoming emotionally attached to misunderstanding its inner workings. Last year, Google engineer Blake Lemoine’s blog post went viral and gained national coverage; it claimed that the company’s LaMDA generative text model (which Bard now employs) was already sentient. This allegation immediately drew skepticism from others in the AI community who pointed out that the text model was merely imitating sentience. But as that imitation improves, Burrell agrees it “will continue to confuse people who read machine consciousness, motivation, and emotion into these replies.” Because of this, she contends chatbots should be viewed less as “artificial intelligence,” and more as tools utilizing “word sequence predictions” to offer human-like replies.

[Related: Microsoft’s take on AI-powered search struggles with accuracy.]

“This technology should be scrutinized forward and backwards,” says Holt. “The people selling it claim it can change the world forever. To me, that’s more than enough reason to apply hard scrutiny.”

Dolan-Gavitt thinks that potentially one of the reasons Bing’s recent responses remind readers of the “rogue AI” subplot in a science fiction story is because Bing itself is just as familiar with the trope. “I think a lot of it could be down to the fact that there are plenty of examples of science fiction stories like that it has been trained on, of AI systems that become conscious,” he says. “That’s a very, very common trope, so it has a lot to draw on there.”

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Top 50 Companies For Ai Chatbots

This article enlists 50 chatbot companies that provide conversational AI solutions for varied domains and platforms.

AI chatbots have revolutionized the way businesses interact with their customers. These intelligent virtual assistants can understand natural language and provide personalized responses to customer queries, leading to improved customer satisfaction and increased sales. With the rise of AI technology, more and more companies are integrating chatbots into their customer service strategies. Analytics Insight has come up with a list of AI chatbot providers to assist organizations in finding the best chatbot provider. These platforms assist several businesses and individuals in comparing chatbot providers based on features like customization, integration potential, and cost.


Company: Ada

Headquarters: Toronto, Ontario, Canada

Release Date: 2024

Features: Ada chat includes a chat builder module with drag-and-drop capabilities, which assists professionals with designing custom chatbots using automated replies, multimedia content, and A/B testing.

Free trial/Pricing: Available for a free trial

Google Rating: 4.6


Headquarters: Palo Alto, California, United States

Release Date: 2024

Features: Features of chúng tôi Prediction, natural language processing, Coherence and Context, conversant AI, Electronic assistant, Recognition of intent, Screen conversations, and Development Without Code.

Free trial/pricing: Available for a free trial

Google Rating: 4


Company: atSpoke

Headquarters: San Francisco, California, United States 

Release Date: 2024

Features: atSpoke features are knowledge management, ticketing, and an employee self-service site powered by AI, Answers to inquiries received via email, online, SMS, and Slack thanks to atSpoke’s multi-channel chatbot.

Free trial/pricing: Available for a free trial, monthly US$3.00

Google Rating: 4.7


Company: Microsoft Corporation

Headquarters: One Microsoft Way Redmond, Washington, U.S.

Release Date: 2009

Features: Bing is provided with specifications like food preferences, spending limits, location, or time allotment, it can carry out sophisticated activities like meal planning.

Free trial/pricing: Free

Google Rating: 3.58


Company: Genesys

Headquarters: Boston, Massachusetts, United States

Release Date: 2024

Features: Bold360 features include live chat, messaging, mobile engagement, agent productivity management, AI self-service, reporting, and analytics.

Free trial/pricing: Yearly US$20,000

Google Rating: 3.3

chúng tôi

Company: Scandinavian software company

Headquarters: Sandnes, Rogaland, Norway.

Release Date: 2024

Features: helps businesses to create, implement, and manage chatbots to automate interactions with clients and staff and provide scalable answers to inquiries.

Free trial/pricing: Free Trail

Google Rating: 4.8


Company: Botsify

Headquarters: Karachi, Sindh, Pakistan

Release Date: 2024

Features: Botsify is a multi-language powerful chatbot that helps in Integrations, and client Support, and automates difficult client interactions in minutes.

Free trial/pricing: Monthly US$25

Google Rating: 4.3


Company: ChatBot

Headquarters: Boston, Massachusetts, United States 

Release Date: 1994

Features: ChatBot features are Unsupervised AI Learning (NLP/NLU), Omnichannel Messaging, Live Chat Handover & Intelligence, No-Code Visual Flow Builder, and Sentiment Analysis.

Free trial/pricing: Monthly US$52

Google Rating: 4.4


Headquarters: San Francisco, California

Release Date: November 30, 2023

Features: ChatGPT is a natural language processing tool driven by AI technology that allows you to have human-like conversations and much more with the chatbot. 

Free trial/Pricing: Free and its latest version ChatGPT Plus is US$20

Google Rating: 4.6


Headquarters: San Francisco, California

Release Date: December 12, 2023

Features: ChatSonic is an AI-powered virtual assistant that can create digital artwork/images, respond to voice commands, and generate text.

Free trial/Pricing: Free Trial up to 2,500 words

Google Rating: 3.7

Headquarters: Paris, Ile-de-France, France

Release Date: November 1, 2023

Features: CSML helps chatbot development teams build truly intelligent, maintainable, and scalable chatbots, integrated with your favorite apps, on any channel, with full control over your source code.

Free trial/Pricing: Free for 30 days trial, US$20/month for Pro, and US$1500 for Enterprise

Google Rating: N/A

Dasha AI

Headquarters: New York, United States

Release Date: August 2, 2023

Features: Dasha is a conversational AI-as-a-service platform that lets you embed realistic voice and text conversational capabilities into your apps or products. 

Free trial/Pricing: Free

Google Rating: N/A


Headquarters: Sunnyvale, California

Release Date: October 14, 2023

Features: Dialogflow is an NLP (Natural Language Processing) platform which is used to develop an application related to the conversations and experiences of the company’s customers in different languages on numerous media.

Free trial/Pricing: Free

Google Rating: 4.3


Headquarters: Boston, Massachusetts 

Release Date: 2024

Features: Drift is a cloud-based live chat, in-app messaging, and email management solution for sales and marketing teams.

Free trial/Pricing: Provides free plan and Pro plan starting from US$2500/month

Google Rating: 4.4


Headquarters: Kharkiv, Ukraine 

Release Date: January 1, 2023

Free trial/Pricing: Weekly US$2.99, Pro Monthly (1 month) US$28.99 

Google Rating: 4.5

Flow Xo

Headquarters: Padiham, England

Release Date: August 29, 2014

Features: Flow XO provides a user-friendly and feature-rich AI chatbot platform that allows anyone to build code-free online chatbots swiftly.

Free trial/Pricing: Offers a free plan and trial with a standard plan priced at US$19

Google Rating: 4

HubSpot Chatbot Builder

Headquarters: Cambridge, Massachusetts

Release Date: March 6, 2023

Free trial/Pricing: Free to use

Google Rating: 4.4

IBM Watson Assistant

Headquarters: Yorktown Heights, New York

Release Date: June 1, 2023

Features: IBM Watson Assistant helps you build conversational interfaces into any device, application, or channel. It has features like model training, language support, and more.

Free trial/Pricing: Free to use

Google Rating: 4.4


Headquarters: California, USA

Release Date: 2024

Features: Imperson develops turnkey chatbot solutions that automate the entire customer journey, naturally, through conversation.

Free trial/Pricing: Free to use

Google Rating: 4.5


Headquarters: Foster City, California

Release Date: November 13, 2023

Features: Inbenta is an AI chatbot powered by Semantic Search and Artificial Intelligence that provides excellent customer experience.

Free trial/Pricing: US$4000.00; $15.00/Per Month

Google Rating: 4.7


Headquarters: New York

Release Date: 2013

Features: Infeedo engages employees, predicts attrition, and answers your queries with the help of conversational AI.

Free trial/Pricing:

Google Rating: 4.8


Headquarters: San Francisco

Release Date: 2011

Features: The Chatbot uses targeted email, in-app messages, and mobile push to encourage customers and takes action to convert them into loyal customers.

Free trial/Pricing: starts from US$65/month for up to one year

Google Rating: 4.5


Headquarters: Paris, Ile-de-France, France.

Release Date: April 26, 1974

Features: itsAlive provides a platform to build chatbots easily and provides services to the brands that stand out.

Free trial/Pricing: Free

Google Rating: 4.5


Headquarters: Austin, Texas, United States

Release Date: December 23, 2023

Features: Jasper’s features include its ability to handle complex queries and respond conversationally and naturally. It also integrates with various communication channels.

Free trial/Pricing: Free

Google Rating: 4.8


Headquarters: New York

Release Date: August 22, 2023

Features: Kasisto is a banking AI chatbot that helps in making it easy in adding new features, services, and channels.

Free trial/Pricing:  

Google Rating: 4.1


Headquarters: European Union (EU)

Release Date: 2024

Free trial/Pricing: Free

Google Rating:4.6


Headquarters: New York, United States

Release Date: 1995

Features: LivePerson offers a Web-based engagement service.

Free trial/Pricing: Starting From $40Annual, Monthly, Quote-based

Google Rating: 2.9


Headquarters: San Francisco, California, United States   

Release Date: 2024

Features: Message broadcasting, drip marketing, A/B testing, audience segmentation, and lead conversion.

Free trial/Pricing: 7-Day Free Trial

Google Rating:4.3


Headquarters: 1779 Trillium Blvd, Spring Hill

Release Date:2010

Features: An intelligent medical and health helper capable of answering difficult medical concerns

Free trial/Pricing: Free

Google Rating:4.4

Microsoft Bot Framework

Headquarters: Hilden, Germany

Release Date:2024

Features: A set of libraries, tools, and services for creating, testing, deploying, and managing intelligent bots.

Free trial/Pricing: Free

Google Rating:4.3

Mobile Monkey

Headquarters: Boston, Massachusetts, United States

Release Date:2024

Features: Adobe Implementers and Consultants

Free trial/Pricing: Mobile Monkey has three pricing plans Free, Pro ($49/mo), and Premier ($149/mo)

Google Rating:3.2


Headquarters: San Francisco California

Release Date:2024

Features: Deep reinforcement learning is used to automate personalized messages and engage in genuine discussions.

Free trial/Pricing: Free

Google Rating:4.8


Headquarters: Oakland, California, United States

Release Date: 2008

Features: Custom, content, learning, community, and voice interfaces that are deployable, multilingual, and free.

Free trial/Pricing: The Developer Plan ($19/month) includes 10,000 channel messages each month, $9 per third-party channel, and $3 for every extra 1,000 messages.

Google Rating:5


Headquarters: Scottsdale

Release Date: 2004

Features: A logically self-contradictory assertion or a statement that contradicts one’s expectations.

Free trial/Pricing: $1,700. per month

Google Rating:4.6


Headquarters: San Francisco

Release Date: 2024

Features: Replika’s emphasis is on a meaningful conversation, it can utilize past contributions to your life and tailor itself as indicated by you. Create a Replika avatar, give it a name, and change how it looks to get started.

Free trial/Pricing: Replika’s Pro membership begins from $19.99 per month

Google Rating: 3+

Headquarters: Gurugram, Haryana

Release Date: 2023

Features: When the AI engine determines that human assistance is required, it seamlessly hands over conversations to your team on Hootsuite.

Free trial/Pricing: This application provides a 14-day free trial

Google Rating: 4+

Headquarters: Campbell, CA.

Release Date: 2024

Features: Make all conversations automatic. Provide a consistently excellent customer experience throughout the customer journey. Deploy and improve bots rapidly and cost-effectively.

Free trial/Pricing: Free

Google Rating: 4+


Headquarters: San Francisco

Release Date: 2023

Features: Powered by machine learning and predictive intelligence. Builds contextual understanding and makes use of the data already in Salesforce to bring the best responses to the surface.

Free trial/Pricing: This application provides a 30-day free trial

Google Rating: 3+

SAPConversational AI

Headquarters: Paris, France

Release Date: 2023

Features: Using a single interface, AI-powered chatbots can be trained, built, tested, connected, and monitored across SAP and third-party solutions to simplify user experiences and business tasks.

Free trial/Pricing: This application provides a 90-day free trial

Google Rating: 5


Headquarters: San Francisco, California, United States

Release Date: 2023

Features: With Smartloop, you can utilize conversational AI to nurture your subscribers depending on their interests, resulting in more sales. You can increase client retention by having one-on-one discussions and sharing compelling material.

Free trial/Pricing: This application provides upto 100 subscribers on a free plan

Google Rating: 5


Headquarters: Herzliya, Tel Aviv, Israel

Release Date: 2024

Features: It is a platform for creativity that enables organizations together messaging experiences across multiple channels. Facebook Messenger, Line, Telegram, SnatchApp, and Skype are just a few examples.

Free trial/Pricing: This application provides 2000 free messages for 14 days in a free trial

Google Rating: 4+


Headquarters: Palo Alto, CA

Release Date: 2023

Features: This incorporates determining the Net Promoter Score, capturing employee feedback, boosting customer satisfaction and turning them into brand ambassadors, undertaking market research to aid decision-making, obtaining insights from website visitors, and more.

Free trial/Pricing: This application provides a 14-day free trial.

Google Rating: 4+


Headquarters: San Franciso, California, United States

Release Date: 2013

Features: The web-based live chat platform is called Tidio Chat. Chat widgets on websites, Facebook Messenger, and emails were included to help agents deal with customers. Tidio allows users to personalize a selection of chat widgets, sidebars, and chat pages.

Free trial/Pricing: Free subscription and its pro version starts from US$15.83/month

Google Rating: 4.3


Headquarters: Malmo, Skane Lan, Sweden

Release Date: 2007

Features: With the help of enhanced chat, chatbots, and video/voice, businesses can communicate with online customers using the digital engagement platform Vergic Engage.

Free trial/Pricing: US$38/month

Google Rating: 4.5


Headquarters: Hong Kong

Release Date: 2023

Features: A complete WhatsApp API solution called WATI is made specifically for small and medium-sized organizations. WATI helps SMBs sell, market, and service their clients more effectively by utilizing its strong chatbots, APIs, integrations, and customer intelligence capabilities.

Free trial/Pricing: US$49/monthGoogle Rating: 3.9

chúng tôi

Headquarters: Orlando, Florida, United States

Release Date: 2013

Features: Natural and human-like chatbot conversations are made possible by’s usage of Natural Language Processing (NLP) and Machine Learning (ML), enabling it to grasp the intent of user questions and offer precise and pertinent information answers.

Free trial/Pricing: US$500/month

Google Rating: 4.7

chúng tôi

Headquarters: New York, United States

Release Date: 2014

Features: With the tool chúng tôi organizations may communicate optimum availability and arrange meetings.

Free trial/Pricing: US$8/month

Google Rating: 4.3

You Chat

Headquarters: Palo Alto, California, United States

Release Date: 2023

Features: YouChat is a chatbot that works similarly to ChatGPT and responds very immediately. With references, it can send letters, translate, provide ideas, summarise content, translate, suggest translations, and even develop code.

Free trial/Pricing: Free

Google Rating: 4.7

Zendesk Answer Bot

Headquarters: San Francisco, California

Release Date: 2023

Features: Zendesk offers prompt responses. With the help of this platform,  can provide reply alternatives as per the clients’ convenience.

Free trial/Pricing: $49 per month

Google Rating: 4.3

Zoho SalesIQ

Headquarters: Chennai, India

Release Date: 2024

Features: Zoho SalesIQ is software that anyone can use to create custom chatbots to automate interactions with their customers or prospects

Free trial/Pricing: Free, premium version has certain charges

Ai Chatbots Are Becoming More Realistic

Chatbots are computer programs that provide a conversational experience for customers.

Depending on a chatbot’s sophistication, these programs may run on various amounts of AI-associated technologies, like natural-language processing and machine learning.

By and large, customers are increasingly happy to use chatbots for routine customer service operations, like checking business hours, confirming a store’s location or tracking the status of an order.

This article is for business leaders who want to learn about the future trends for realistic AI chatbots. 

Artificially intelligent chatbots aren’t just for Fortune 500 companies anymore. Thanks to a slew of innovative bot ventures that focus on the user experience, small business owners are now using artificial intelligence (AI) to improve daily operations, connect with clients and increase sales. Well-known tech executives such as Mark Zuckerberg and Satya Nadella have publicly touted the value of AI chatbot technology. And since the COVID-19 pandemic, AI chatbot adoption has further quickened as businesses pivoted more of their operations online. Now, roughly one-quarter of companies use chatbots for their customer service.

That said, tech adoption tends to take time for small and midsize businesses, especially when the emerging technology is unfamiliar to most users. Today, the use of chatbots is heavily influenced by business size: While micro businesses and small businesses currently employ chatbots at higher rates than larger businesses, significantly more midsize and large businesses plan to deploy chatbots. However, across businesses of all sizes and types, chatbots appear to be a dominant technology trend moving forward. 

What is a chatbot?

Chatbots are computer programs designed to provide a realistic conversational experience for humans. Chatbots can process human language (written or spoken) and provide responses of varying complexity. At one extreme are simple text-based chatbots that may only answer simple, one-line questions, such as providing business hours or store locations. 

At the other end of the chatbot spectrum are proprietary virtual assistants, like Alexa, Siri, Google Assistant and Cortana. These chatbots can provide a significantly wider variety of functionality than text-based chatbots can. Each of these chatbots can understand conversational language and are not reliant on text-based input. 

How are chatbots used today?

Chatbot usage varies greatly based on the complexity of the software and how it is deployed. Chatbots such as Alexa or Siri are used routinely by individuals for a wide variety of routine tasks, such as asking for the weather forecast, creating calendar events, or writing and sending text messages. These types of personal AI chatbots are virtual assistants and are unlikely to be used by businesses beyond employee personal use. 

Simpler AI chatbots, though, are being increasingly deployed by businesses across the e-commerce and online spaces. These chatbots typically appear as window pop-ups in a web browser to ask if a visitor needs help. These simple chatbots are already common: A recent survey found that 22% of micro businesses, 20% of small businesses, 11% of medium-size businesses and 12% of large businesses use these chatbots. Over the coming years, this deployment will significantly increase: 43% of micro businesses, 60% of small businesses, 80% of medium-size businesses and 71% of big businesses are planning to deploy chatbots, the survey found. 

In a business setting, chatbots are widely used to help customers find answers quickly without requiring human intervention. Typically, businesses deploy chatbots to answer common questions or to provide support outside typical business hours. 

According to chatbot and customer service company Tidio, business owners’ top three reasons for using chatbots are to facilitate faster replies to customer messages (26%), offer round-the-clock customer support (20%) and provide automatic replies to repetitive or common questions (18%). Essentially, business owners view chatbots as a means to improve productivity and provide more efficient service to customers. 

Key Takeaway

A minority of businesses currently use chatbots, but an overwhelming majority of businesses of all sizes plan to implement them. Companies currently use chatbots to help customers with routine questions and provide customer support during off-hours.

How do customers respond to chatbots? 

Customers’ responses to chatbots vary greatly. The reason the customer is interacting with the chatbot in the first place, along with the other means of assistance available, greatly affects their overall opinion of it. For example, Tidio found that 62% of customers would rather use a chatbot than wait 15 minutes or more to speak to a human representative. [Read related article: Small Businesses Provide the Best Customer Service.]

Similarly, regardless of wait time, customers would rather use a chatbot than speak to a human representative for a range of simple activities. Consider these findings from Tidio:

71% of customers would prefer to use a chatbot to check an order status.

67% would prefer to use a chatbot for help searching for products.

62% would rather use a chatbot to get information and deals.

A survey from the chatbot company chúng tôi found similar responses within the marketing industry. According to chúng tôi 70% of survey respondents said chatbots answer all or most questions satisfactorily. According to this survey, customers likewise cited using chatbots most frequently for resolving simple issues. Consider these findings:

18% of respondents used chatbots to find business hours.

17% used them to request product information.

16% used them to find nearby store locations.

16% used them for customer service requests. 

Although chatbots are effective for simple tasks, customers do not like using them for complicated requests. According to a report from Verint, most customers found chatbots ineffective for detailed requests. Here are some more findings from the Verint report: 

32% of respondents said chatbots rarely or never understood them, while 28% said chatbots always or often understood them. 

30.5% of respondents said chatbots rarely or never fully answered their questions. 

54.5% of respondents said they always or often had to speak to a human representative after using a chatbot. 


Overall, most customers prefer to use a chatbot than wait 15 minutes or more to speak to a customer service representative. Customers generally rate their experience with chatbots positively for routine tasks but generally don’t like to use them for more complex or detailed questions.

Chatbot adoption is on the rise, and so is sophistication

Chatbot adoption increased 426% in April 2023, following the first round of lockdowns due to the COVID-19 pandemic. Further adoption of chatbots by small and midsize businesses is likely to be driven by three factors: lower costs, improved technology and growing demand. Already, though, the chatbot market has undergone a round of normalization, as large numbers of customers and business owners believe chatbots fill certain business needs. 

How far chatbot adoption ultimately goes depends on how much the technology improves. If chatbots offer a seamless customer experience across a range of functions, their continued adoption is almost certain. And, with increasing numbers of chatbot service providers, it seems very likely that more businesses will continue to adopt this technology and that greater numbers of customers will come to expect it.

How Ai Has Evolved Itself From Chatbots To Gpt

Here is the detailed information on how ai technology has evolved from chatbots to gpt-3

The world is progressively being overtaken by Artificial Intelligence technology. We have seen the development of ChatGPT from Chatbots To GPT-3. Following ChatGPT, well-known IT businesses have decided to contest its victory. Bing AI is available from Microsoft, Bard from Google, and ChatGPT from OpenAI.

These large companies all want to get consumers’ attention. After being tested for weeks or maybe months, the AI chatbot technology from major big companies is finally accessible to the general public. Regarding these Large Language Model programs like GPT-3, there are a few myths as well. These, for instance, come preloaded and trained with a tonne of online data.


Chatbots are PC programs intended to reproduce human discussions, empowering correspondence between a human and a machine through messages or voice orders.

There are two kinds of chatbots: rule-based chatbots, which follow a progression of pre-modified runs and can grasp a restricted scope of decisions; and chatbots based on artificial intelligence (AI), which employ machine-learning algorithms to comprehend open-ended queries and grow over time. A natural language processing (NLP) system, a dialogue management system, and a question-and-answer system make up the architecture of a chatbot.

Chatbots can be utilized for different purposes, including client support, lead age, and online business. Nonetheless, chatbots have constraints, including the powerlessness to grasp complicated inquiries without a right or wrong answer and the potential for one-sided reactions if the information used to prepare the chatbot is one-sided.

Chatbots Based on Rules:

Rule-based chatbots are a type of chatbot that understand and respond to user queries by following a set of predefined rules. Based on the chatbot’s pre-programmed rules, they are made to respond specifically and pre-determined to user input.

Rule-based chatbots can help take care of basic, clear errands like responding to habitually clarified pressing issues or giving fundamental data about an item or administration. They are frequently employed in positions related to customer service or support, where they can assist in decreasing the workload of human operators by taking care of routine inquiries and tasks.

Rule-based chatbots, on the other hand, aren’t as good at understanding and responding to open-ended or more complex questions. They may require human intervention in situations where they are unable to comprehend or respond to questions that are outside of their predetermined rules or knowledge base.

Artificial Intelligence Chatbots:

Man-made brainpower (simulated intelligence)- based chatbots are PC programs intended to discuss with a human client. They respond appropriately to open-ended questions by employing machine learning algorithms. They are prepared to utilize a lot of information and can distinguish the language, setting, and plan of a discussion, permitting them to answer in a more regular and human-like way.

Rule-based chatbots are limited to adhering to a set of predetermined rules, whereas AI-based chatbots are more complex and sophisticated. Chatbots based on AI can learn and grow over time as they gain more experience and data. They are better suited for customer service and support applications because they can handle more intricate and open-ended questions.

However, AI-based chatbots may not always be the best option for every use case because they require a significant amount of expertise and resources to develop and maintain. Before choosing between an AI-based or rule-based approach, it is essential to carefully consider the specific requirements and capabilities of a chatbot.

Chat GPT-3:

OpenAI’s language processing AI model, GPT-3 (Generative Pre-training Transformer 3), has received a lot of attention in the field of natural language processing (NLP) due to its ability to produce human-like text and perform a variety of language tasks with high accuracy.

Given its size and the volume of data it has been trained on, GPT-3 is thought to be superior to previous language processing models. With 175 billion parameters, GPT-3 is the largest AI language model at the moment. This means that it can process and comprehend a large amount of data to produce text that is more accurate and natural-sounding.

Another motivation behind why GPT-3 is viewed as better is its capacity to play out an extensive variety of language undertakings without the requirement for task-explicit tweaking. This is because GPT-3 has already been trained on a wide range of language tasks, making it able to adapt well to new tasks without requiring additional training data.

The 4 Things Employees Want That Employers Aren’t Giving Them

In the world of employee retention, two things matter: What employees want out of their job, and what the job is offering them. In the end, an extra pool table or snack bar won’t matter if the employees feel that they aren’t being listened to. That’s why a recent report is so interesting: It covers the four most likely gaps between what the workers want and what the company offers.

The international research report, a collaboration between Universum, INSEAD Emerging Markets Institute, The HEAD Foundation and MIT Leadership Center, relies on 18,337 individual responses from 19 countries worldwide that had statistically relevant sample sizes. Here’s what they found.

1: Digital Capabilities

Plenty of working professionals say that a company’s digital capabilities are important. But less than half think that their employers are measuring up to their standards. Ironically, part of the problem is the workplace’s attempt to quickly add new technologies, the study explains:

“More and more, employees expect work applications to function as effortlessly and effectively as the applications they use in their personal lives. To live up to this, companies are adopting new, specialized technologies at breakneck speed, leading to  sizeable integration issues. The problem is particularly bad for workforce-facing applications  (e.g. project management, messaging, time management, calendaring), many of which don’t speak to one another and share information.”

2: Virtual Reality

“Just three percent of working professionals currently use any type of VR applications in the workplace, but one in three say it’s poised to revolutionize their work in the coming decade. “

All generations in the study except the Gen X respondents — older Gen Y, younger Gen Y, and Gen Z — said that they were anticipating the arrival of VR the most. Gen Xers prefers elearning programs by a slim margin. No word on the popularity of VR elearning programs.

They may have a few years to wait.

3: A Flexible Workforce

“In San Jose,” research from the Brookings Institute shows, “gig work in ground transportation rose by 145 percent in two years.4 The rise of the sharing economy (e.g. Uber, Airbnb, TaskRabbit), and a parallel growth in technologies that support freelance work, means traditional, sit-at-your-desk work may not be the norm much longer when it comes to freelance work.”

Younger generations are more likely to be considering starting their own company to work on their terms, and freelancers are bigger than ever. Companies can’t offer a flexible schedule fast enough.

4: Training and Development

One big myth that companies should get over: Younger generations of workers don’t want online courses over in-person training.

“Stop assuming that younger generations prefer online training options,” the study says. “It’s a finding that’s often repeated, but Universum’s research doesn’t support the claim. All generations prefer in-person training over online options.”

But training programs need to be tweaked: Global companies, for example, spent an estimated $356 billion as of 2024, but studies have revealed that a quarter of the time, employee performance isn’t improved, and a 2011 study even indicated 90 percent of new skills were lost within a year.

There’s no easy answer to this one: Companies must simply re-evaluate their training courses with their specific employee demographic in mind.

In Short: The Nature of Work Is Changing

The impact of all these results is summed up in a quote provided by Vinika D. Rao, the Executive Director of INSEAD Emerging Markets Institute, who says:

“Given the rapid pace of change in workplace technology – from cloud-based collaboration tools and workplace messaging platforms to newer technologies like wearables – it’s clear the nature of work in 10 years will be vastly different from what we experience today.”

If companies hope to stay aware of their employees’ needs, they should check in on the above four areas.

Image: WOCinTech

No Peace = No Sex

A spirit of playfulness infuses Lydia Diamond’s modern take on Aristophanes’ racy Greek comedy classic Lysistrata, originally written between 427 and 387 B.C. It’s partly the subject matter — Lysistrata is about a group of women who stage a sex strike to end the Peloponnesian War — but also the project’s pacing, which had Diamond still writing the play, titled Lizzie Stranton, even as rehearsals were under way.

“It was faster than most projects ever happen in theater,” says Diamond, a College of Fine Arts assistant professor of playwriting. “It was a challenge, artistically, writing something in four months. But it was so wonderful collaborating with student designers, stage management who were students, professional theater makers and educators, who were all totally on board with the spirit of, ‘The play isn’t even done and we’re going into rehearsals.’ It was all very laid-back and fun.”

In Lizzie Stranton — which opens at the Wimberly Theatre on Thursday, December 11 — Lizzie Stranton is an African-American woman living in a fictional America-like country in 2024, led by a black president and first lady. The economy is in chaos and the world embroiled in war. As in the original, Lizzie organizes a sex strike to try and force an end to the fighting. “There’s something disturbing and wonderful about the timeliness of the play,” Diamond says. “Things are so precarious right now. It’s sometimes easier to acknowledge and process that through comedy.”

The production is part of the school of theatre’s New Play Initiative, a program that connects CFA faculty and students with professional theaters such as Boston University’s Huntington Theatre Company, the Guthrie Theater in Minneapolis, Minn., the Woolly Mammoth Theatre in Washington, D.C., and the Olney Theatre in Maryland.

While Lizzie Stranton is a brand-new play, it is “unabashedly based on the Lysistrata story,” says Diamond, who several years ago adapted the Toni Morrison novel The Bluest Eye to much acclaim. “It was a really good lesson in creativity. There was a certain level of letting go and trusting that made it a successful project. The process of making it fits the telling of the piece.”

Elaine Vaan Hogue, a CFA assistant professor of acting and directing and the director of Lizzie Stranton, says that war and sex cut across all time and cultural barriers and keep a play like Lysistrata relevant today.

“Lizzie’s plan, as outlandish as it seems, is actually a very practical and doable thing,” Vaan Hogue says. “I hope that our audiences laugh and have outrageous fun. I don’t believe in message theater. I invite our audiences to enter into Lizzie’s world, to engage a unique perspective on war and sex, and to take away what has meaning and resonance for them personally.”

Lizzie Stranton runs December 11 through 20 at the BCA Calderwood Pavilion’s Wimberly Theatre, 527 Tremont St., Boston. Tickets are $12 for the general public; $10 for students, senior citizens, BU alumni, Huntington Theatre Company subscribers, and WGBH members; one free ticket for the BU community, with BU ID, at the door on the day of the performance, subject to availability. Vaan Hogue, Diamond, and dramaturg Ilana Brownstein, a CFA lecturer, will host a postperformance talk on Thursday, December 11. The performance on Thursday, December 18, will be ASL interpreted.

Caleb Daniloff can be reached [email protected].

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