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Experimenting with langchain
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
One repository for some of the workshops Alexey Grigorev is giving
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Repositories
10Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
No description provided.
One repository for some of the workshops Alexey Grigorev is giving
No description provided.
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
No description provided.
Experimenting with langchain
LLM101n: Let's build a Storyteller
This sample has the full End2End process of creating RAG application with Prompt Flow and AI Studio. It includes GPT 3.5 Turbo LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.