plischwe

Pinned Repositories

langchain
🦜🔗 Build context-aware reasoning applications
Language:Jupyter Notebook01
retail-use-cases
Retail based use case profiles.
Language:Python05
optimum-intel
🤗 Optimum Intel: Accelerate inference with Intel optimization tools
Language:Jupyter Notebook449 37 114124
Telco-RAG
Telco-RAG is a specialized Retrieval-Augmented Generation (RAG) framework for 3GPP documents
Language:Python38 4 415
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.
Language:Shell385 24 438254
argoflow
Deploying Kubeflow with Argo CD
Language:YAML00
langchain
🦜🔗 Build context-aware reasoning applications
Language:Jupyter Notebook00
Telco-RAG
Telco-RAG is a specialized Retrieval-Augmented Generation (RAG) framework for 3GPP documents
Language:Python00
ultra_track
Language:Python00
Video-LLaVA
Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
Language:Python00

plischwe's Repositories

plischwe/argoflow
Deploying Kubeflow with Argo CD
Language:YAML00
plischwe/langchain
🦜🔗 Build context-aware reasoning applications
Language:Jupyter Notebook00
plischwe/Telco-RAG
Telco-RAG is a specialized Retrieval-Augmented Generation (RAG) framework for 3GPP documents
Language:Python00
plischwe/ultra_track
Language:Python00
plischwe/Video-LLaVA
Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
Language:Python00