Linking pages
- DeepSpeed/README.md at master · microsoft/DeepSpeed · GitHub https://github.com/microsoft/DeepSpeed/blob/master/blogs/deepspeed-chat/README.md 55 comments
- DeepSpeed/blogs/deepspeed-chat at master · microsoft/DeepSpeed · GitHub https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-chat 0 comments
- GitHub - Mooler0410/LLMsPracticalGuide: A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers) https://github.com/Mooler0410/LLMsPracticalGuide 0 comments
- GitHub - Azure-Samples/miyagi: Sample for Intelligent app dev workshop to demonstrate the potential of integrating SoTA foundation models in user experiences and backend workflows. Orchestrated by Semantic Kernel and built on Azure primitives. https://github.com/Azure-Samples/miyagi 0 comments
Linked pages
- GitHub - hwchase17/langchain: ⚡ Building applications with LLMs through composability ⚡ https://github.com/hwchase17/langchain 77 comments
- bigscience/bloom · Hugging Face https://huggingface.co/bigscience/bloom 4 comments
- GitHub - microsoft/DeepSpeed: DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. https://github.com/microsoft/DeepSpeed 1 comment
- GitHub - databrickslabs/dolly: Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform https://github.com/databrickslabs/dolly 0 comments
- DeepSpeed/blogs/deepspeed-chat at master · microsoft/DeepSpeed · GitHub https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-chat 0 comments
- GitHub - OptimalScale/LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Language Model for All. https://github.com/OptimalScale/LMFlow 0 comments
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