opea-project / 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.
☆369Updated this week
Alternatives and similar repositories for GenAIExamples:
Users that are interested in GenAIExamples are comparing it to the libraries listed below
- GenAI components at micro-service level; GenAI service composer to create mega-service☆106Updated this week
- Evaluation, benchmark, and scorecard, targeting for performance on throughput and latency, accuracy on popular evaluation harness, safety…☆27Updated this week
- This repo contains documents of the OPEA project☆29Updated this week
- Intel® AI for Enterprise RAG converts enterprise data into actionable insights with excellent TCO. Utilizing Intel Gaudi AI accelerators …☆13Updated 2 weeks ago
- NVIDIA AI Blueprint for multimodal PDF data extraction for enterprise RAG☆300Updated 3 months ago
- GenAI Studio is a low code platform to enable users to construct, evaluate, and benchmark GenAI applications. The platform also provide c…☆28Updated this week
- Large Language Model Text Generation Inference on Habana Gaudi☆32Updated this week
- Run Generative AI models with simple C++/Python API and using OpenVINO Runtime☆220Updated this week
- An innovative library for efficient LLM inference via low-bit quantization☆351Updated 5 months ago
- Accelerate your Gen AI with NVIDIA NIM and NVIDIA AI Workbench☆147Updated 3 weeks ago
- A collection of YAML files, Helm Charts, Operator code, and guides to act as an example reference implementation for NVIDIA NIM deploymen…☆157Updated last week
- Collection of reference workflows for building intelligent agents with NIMs☆146Updated last month
- Official repository of the Intel Certified Developer Program☆43Updated this week
- An NVIDIA AI Workbench example project for Retrieval Augmented Generation (RAG)☆302Updated 2 months ago
- Python SDK for Llama Stack☆127Updated this week
- this project will bootstrap and scaffold the projects for specific semantic search and RAG applications along with regular boiler plate c…☆88Updated 2 months ago
- ☆135Updated this week
- Hugging Face Deep Learning Containers (DLCs) for Google Cloud☆141Updated 3 weeks ago
- LLMPerf is a library for validating and benchmarking LLMs☆758Updated 2 months ago
- A high-throughput and memory-efficient inference and serving engine for LLMs☆56Updated this week
- Explainable AI Tooling (XAI). XAI is used to discover and explain a model's prediction in a way that is interpretable to the user. Releva…☆37Updated 2 months ago
- Pretrain, finetune and serve LLMs on Intel platforms with Ray☆112Updated last week
- 🚀 Use NVIDIA NIMs with Haystack pipelines☆30Updated 5 months ago
- Build an agentic RAG system with Granite 3.1 on your laptop☆89Updated this week
- Evaluate and Enhance Your LLM Deployments for Real-World Inference Needs☆191Updated this week
- Following emerging Large Language Model Operations (LLM Ops) best practices in the industry, you’ll learn all about the key technologies …☆262Updated 10 months ago
- One click templates for inferencing Language Models☆156Updated 2 weeks ago
- Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)☆171Updated this week