SAPD-Intel
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huggingface-blog
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GenAIExamples
GenAIExamples Public archiveForked from 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.
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optimum-habana
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CAG
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distributed-speculative-inference
distributed-speculative-inference PublicForked from keyboardAnt/distributed-speculative-inference
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Repositories
- GenAIExamples Public archive Forked from 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.
SAPD-Intel/GenAIExamples’s past year of commit activity - GenAIComps Public archive Forked from opea-project/GenAIComps
GenAI components at micro-service level; GenAI service composer to create mega-service
SAPD-Intel/GenAIComps’s past year of commit activity - RouteLLM Public Forked from lm-sys/RouteLLM
A framework for serving and evaluating LLM routers - save LLM costs without compromising quality
SAPD-Intel/RouteLLM’s past year of commit activity - CAG Public Forked from hhhuang/CAG
Cache-Augmented Generation: A Simple, Efficient Alternative to RAG
SAPD-Intel/CAG’s past year of commit activity - optimum-habana Public Forked from nngokhale/optimum-habana
Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)
SAPD-Intel/optimum-habana’s past year of commit activity - distributed-speculative-inference Public Forked from keyboardAnt/distributed-speculative-inference
The fastest off-the-shelf inference algorithm for LLMs
SAPD-Intel/distributed-speculative-inference’s past year of commit activity - Adaptive-RAG Public Forked from starsuzi/Adaptive-RAG
A novel adaptive QA framework that can dynamically select the most suitable strategy for (retrieval-augmented) LLMs from the simplest to the most sophisticated ones based on the query complexity.
SAPD-Intel/Adaptive-RAG’s past year of commit activity
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