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Haiyun Hu's Projects

auto-gpt icon auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

azure-sdk-for-python icon azure-sdk-for-python

This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.

azure-search-openai-demo icon azure-search-openai-demo

A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

azureml-examples icon azureml-examples

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

babyagi-ui icon babyagi-ui

BabyAGI UI is designed to make it easier to run and develop with babyagi in a web app, like a ChatGPT.

claude icon claude

End-to-end learning of optical communication systems

dify icon dify

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

evals icon evals

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

fastapi icon fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

fingpt icon fingpt

Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥

finrl-meta icon finrl-meta

FinRL­-Meta: Data-Driven Metaverse for Financial Reinforcement Learning.

flaml icon flaml

A fast library for AutoML and tuning.

funcode icon funcode

Repository for bits and pieces I'm working on

get-things-done-with-prompt-engineering-and-langchain icon get-things-done-with-prompt-engineering-and-langchain

LangChain tutorials on how to use ChatGPT/GPT-4 with custom data. The notebooks provide step-by-step guidance on how to load and index data, create prompt templates, and use retrieval QA chains to query the custom data.

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