The summary of the provided text is as follows:
The text discusses a workshop on generative AI and chat applications. The speaker introduces themselves as having experience in data science and machine learning. They explain that generative AI is a field that involves generating text, images, music, and more from models. The history and categories of large language models (LLMs) are explained.
The workshop's specific focus is on developing chat applications using LLMs, addressing challenges in providing intelligent responses. The architecture of such an app is outlined, involving user input, LLM API, metadata from data frames, Python code generation, and result presentation. The technology stack for development includes Python, Pandas, and a front-end tool like Streamlit.
Sure, here are the key facts extracted from the provided text:
1. The speaker has over 15 years of experience in data science, machine learning, and business transformation.
2. The workshop is focused on generative AI and its applications.
3. Generative AI involves generating text, images, music, and more using models like GPT-3.5 and GPT-4.
4. The development process involves steps like data grabbing, data cleaning, analytics, predictive modeling, and generative AI.
5. Generative AI has applications in healthcare, customer service, and other fields.
6. There are four categories of LLMS (Large Language Models) based on their use cases: prompt engineering, retriever augmented generation, fine-tuning, and foundational models.
7. The workshop will primarily focus on prompt engineering.
8. The history of LLMS started with models like GPT-3 and has evolved with the release of models like GPT-3.5 and GPT-4.
9. The workshop aims to address the limitations of current chat with data applications by leveraging LLMS.
10. The app architecture involves sending a question (prompt) to an LLMS API, which generates a Python code to summarize data.
11. The technology stack for development includes Python, libraries like Pandas and NumPy, and tools like Jupyter Notebooks and Streamlit.
These facts provide an overview of the workshop's topic, the speaker's background, the relevance of generative AI, and the technical aspects of the app development process.