AI Chatbots from Top Software Companies 2023

 

Now at the year end while searching for the topics that were most sought in the year 2023, the ChatGPT was the topic among them. Wikimedia announced "Wikipedia’s most popular articles of 2023" and the popularity of this application can be assessed by the information that "ChatGPT is English Wikipedia’s most popular article of the year." Growing popularity of ChatGPT from OpenAI led other big names in the AI like Google, Microsoft and Amazon also to release their Chatbots.

According to Wikipedia, "A Chatbot is a program or web interface created to mimic text or voice conversations through text or voice interactions". (Chatbot - Wikipedia). Chatbots these days are operating online,  and use natural language in conversation with humans imitating the way human behave in conversation with each other. They are powered by generative artificial intelligence systems. Although more basic Chatbots have been around for decades but these modern Chatbots use technologies such as natural language processing  and deep learning. 

Here mentioned few Chatbots by major players in this field of artificial intelligence.

1. ChatGPT

• Release               November 30, 2022
• Developer          OpenAI
• Engine                  GPT-3.5 (free and paid) GPT-4 (paid only)
• Type                      a. Chatbot b. Large language model c. Generative  pre-trained transformer
• Website                 chat.openai.com/

ChatGPT is a language model developed by OpenAI, based on the GPT (Generative Pre-trained Transformer) architecture. GPT-3.5 is the specific version that powers ChatGPT. It is a large-scale unsupervised learning model trained on diverse internet text, making it capable of understanding and generating human-like text across a wide range of topics and tasks.

ChatGPT is designed for natural language understanding and generation, making it suitable for conversational applications. Users can interact with ChatGPT by providing prompts or messages, and it responds in a contextually relevant manner. It can be used for various purposes, such as answering questions, generating text, writing code, creating conversational agents, and more.

 

2. Google Bard

• Release            March 21, 2023
• Developer     Google AI
• Type                  Chatbot
• website             https://bard.google.com/

Google Bard is a large language model (LLM) chatbot developed by Google AI. It is based on the LaMDA (Language Model for Dialogue Applications) family of LLMs and is specifically designed for engaging in open-ended, meaningful conversations. Bard is trained on a massive dataset of text and code, which allows it to understand the nuances of human language and provide comprehensive and informative responses to a wide range of prompts and questions.

3. Amazon Q

• Release            November 29, 2023
• Developer     AWS Amazon
• Type                Generative AI–powered assistant     
• website           https://aws.amazon.com/q/          

Amazon Q is a generative AI-powered assistant developed by Amazon Web Services (AWS). It is designed to help employees streamline tasks, accelerate decision-making, and spark creativity and innovation at work. Amazon Q can access and process information from a variety of sources, including company documents, code, data, and enterprise systems. This allows it to provide employees with comprehensive and relevant information to help them solve problems and make informed decisions.

4. Microsoft Copilot

• Release            February 7, 2023
• Developer     Microsoft
• Type                 Large language model-based AI assistant     
• website            https://copilot.microsoft.com/          

Microsoft Copilot is a large language model-based AI assistant developed by Microsoft. It is designed to help developers and IT professionals write code, debug, and troubleshoot problems. Copilot is trained on a massive dataset of code and text, which allows it to understand the nuances of programming languages and provide suggestions for completing code snippets, fixing errors, and improving code readability.