Pinned Repositories
intel-extension-for-transformers
⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms⚡
neural-compressor
SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime
langchain
🦜🔗 Build context-aware reasoning applications
docs
This repo contains documents of the OPEA project
GenAIComps
GenAI components at micro-service level; GenAI service composer to create mega-service
GenAIEval
Evaluation, benchmark, and scorecard, targeting for performance on throughput and latency, accuracy on popular evaluation harness, safety, and hallucination
GenAIExamples
Generative AI Examples is a collection of GenAI examples such as ChatQnA, Copilot, which illustrate the pipeline capabilities of the Open Platform for Enterprise AI (OPEA) project.
intel_genai_kit_llamaindex
LlamaIndex (formerly GPT Index) is a data framework for your LLM applications
langchain
🦜🔗 Build context-aware reasoning applications
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
lvliang-intel's Repositories
lvliang-intel/intel_genai_kit_llamaindex
LlamaIndex (formerly GPT Index) is a data framework for your LLM applications
lvliang-intel/langchain
🦜🔗 Build context-aware reasoning applications
lvliang-intel/docs
This repo contains documents of the OPEA project
lvliang-intel/GenAIComps
GenAI components at micro-service level; GenAI service composer to create mega-service
lvliang-intel/GenAIEval
Evaluation, benchmark, and scorecard, targeting for performance on throughput and latency, accuracy on popular evaluation harness, safety, and hallucination
lvliang-intel/GenAIExamples
Generative AI Examples is a collection of GenAI examples such as ChatQnA, Copilot, which illustrate the pipeline capabilities of the Open Platform for Enterprise AI (OPEA) project.
lvliang-intel/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.