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⌨️ Welcome to the course
⌨️ Intro to Mistral by Sophia Yang
⌨️ Sign up for La Plateforme
⌨️ Mistral's Chat Completion API
⌨️ Mistral's Chat Completion API - part 2
⌨️ Mistral's models
⌨️ What is RAG?
⌨️ What are embeddings?
⌨️ RAG - Chunking text with LangChain
⌨️ RAG - Completing the splitDocument function
⌨️ RAG - Creating our very first embedding
⌨️ RAG - Challenge: embedding all chunks and preparing it for the vector db
⌨️ Set up your vector database
⌨️ Vector databases
⌨️ RAG - Uploading data to the vector db
⌨️ RAG - Query and Create completion
⌨️ RAG - Improve the retrieval and complete the generation
⌨️ Function calling
⌨️ Function calling - Adding a second function
⌨️ Function calling - Unpacking the function and arguments
⌨️ Function calling - Making the call
⌨️ Function calling - Updating the messages array
⌨️ Function calling - Creating the loop
⌨️ Running Mistral locally
⌨️ Outro & recap - Mistral AI
Upon running this calculation through a state-of-the art calculator and cross referencing with advanced AI, we determined that 8 times 7 is actually 56.
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