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ChatGPT for Conversational AI and Chatbots

ChatGPT for Conversational AI and Chatbots

By : Adrian Thompson
5 (3)
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ChatGPT for Conversational AI and Chatbots

ChatGPT for Conversational AI and Chatbots

5 (3)
By: Adrian Thompson

Overview of this book

ChatGPT for Conversational AI and Chatbots is a definitive resource for exploring conversational AI, ChatGPT, and large language models. This book introduces the fundamentals of ChatGPT and conversational AI automation. You’ll explore the application of ChatGPT in conversation design, the use of ChatGPT as a tool to create conversational experiences, and a range of other practical applications. As you progress, you’ll delve into LangChain, a dynamic framework for LLMs, covering topics such as prompt engineering, chatbot memory, using vector stores, and validating responses. Additionally, you’ll learn about creating and using LLM-enabling tools, monitoring and fine tuning, LangChain UI tools such as LangFlow, and the LangChain ecosystem. You’ll also cover popular use cases, such as using ChatGPT in conjunction with your own data. Later, the book focuses on creating a ChatGPT-powered chatbot that can comprehend and respond to queries directly from your unique data sources. The book then guides you through building chatbot UIs with ChatGPT API and some of the tools and best practices available. By the end of this book, you’ll be able to confidently leverage ChatGPT technologies to build conversational AI solutions.
Table of Contents (15 chapters)
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Part 1: Foundations of Conversational AI
4
Part 2: Using ChatGPT, Prompt Engineering, and Exploring LangChain
9
Part 3: Building and Enhancing ChatGPT-Powered Applications

Limitations of ChatGPT

ChatGPT, as with other LLMs, is not fallible and has several significant risks, limitations, and security considerations that are important to be aware of if you are going to use ChatGPT in production conversational AI use cases.

Limitations

There is no doubt that ChatGPT has some incredible capabilities, but let’s take a look at where things can go wrong.

Accuracy and depth

Probably the most well-known limitation and the one that has garnered the most effort to overcome is ChatGPT’s “information cutoff” date. The early GPT-4 models were trained on publicly available internet data, with cutoff dates as far back as 2021. The latest GPT models have shown improvements. According to OpenAI, the newest GPT-4 Turbo (gpt-4-turbo) has a knowledge cutoff of December 2023. However, beyond this point, it is not updated with the latest information or events. This limitation means that conversational AI implementations using ChatGPT...

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