Hello everyone and welcome to this master class on large language models and conversational AI, specifically covering the Google B and Char GPT 3.5. In this course, we will teach you what conversational AI is all about, the best techniques for prompt engineering, and how to generate content and code efficiently using these powerful language models.
We will start with a basic coverage of the essential difference between conversational AI and a search engine. While a search engine performs information retrieval and expects input and output in a specific format, conversational AI allows us to interact in a human-like fashion and extract answers to personalized questions.
Next, we will cover some of the most basic techniques of prompting, such as text summarization, information extraction, and question answering. We will explore how to use these techniques in different mediums and for tasks like text classification.
We will also dive into the capabilities of chatGPT and Bard, which can have human-like conversations with us about any topic. We will learn how to prompt them to write code for data analysis and web application development.
In the section on critical reasoning, we will address the limitations and challenges of large language models and compare and contrast their findings.
The next section will cover the anatomy of a prompt, including clear and concise instructions, specific context, and input data sources. We will provide tips on designing effective prompts and avoiding contradictions.
We will then explore advanced prompting techniques, including zero-shot prompting, few-shot prompting, logical step-by-step prompting, and knowledge-based prompting.
Moving on, we will discuss different sources of text and data available on the internet that we can extract and feed into the model to generate output based on our requirements.
We will also cover generating code and debugging, with examples of financial data analysis and web application development.
Lastly, we will touch on image generation using Bing’s image generator tool, which can be used for various purposes such as logo design and photography.
Throughout the course, we will provide practical examples, tips, and tricks to optimize the output and increase productivity when working with large language models.
To further enhance your learning experience, we have included a repository of 2,000 prompts that you can use to increase your productivity when working with these models.
Join us in this master class and unlock the full potential of large language models and conversational AI!
