Created by: Denise Schlesinger, Limor Levi and Vlad Feigin
This is a forked version
⚡ Build OpenAI applications to search your own data ⚡ This agenda covers a range of topics, from the basics of LLMs and GPT to more advanced topics like prompt engineering and embeddings. The labs provide hands-on experience with OpenAI, including connecting to the platform, creating prompts, and working with embeddings. The final lab even allows participants to ask SQL database questions in English, demonstrating the power of OpenAI in natural language processing.
- 1- Presentation - Introduction to LLMs, GPT, Prompt engineering and Langchain
- 2- Lab #1 - Connect to OpenAI and ask questions
- 3- Lab #2 - Create prompts for summarization
- 4- Presentation - Embeddings (30 mins)
- 5- Lab #3 - Create embeddings in pandas
- 6- Presentation - Langchain, Vector databases, agents, toolkits (30 mins)
- 7- Lab #4 - Create embeddings with Faiss and Langchain
- 8- Lab #5 - Ask your SQL DB questions in English
- 9- Presentation - Lab #6 - Cognitive services + OpenAI
- 10- Lab #6 - Cognitive services + OpenAI
- 11- Lab #7 - QnA on Your Documents
- 12- Lab #7a - Retrieval Augmented Generation with Azure Cognitive Search
- 13- Lab #8 - Computer vision + OpenAI
- 14- Lab9 - Model functions calling
- In order to participate in the workshop you must follow the instructions in the "0- Requirements folder"