Comments (1)
I believe this is complete enough for now, so closing it.
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Related Issues (20)
- [POC] Create a notebook that standardizes our experiments: data processing, model inferencing, and evaluation HOT 1
- [POC] Use the standard experiment notebook to add results for the models: GPT2, BLOOM, Openai HOT 1
- [POC] Create a minimalistic flask app that allows QA with ROSA documentation using the best model found HOT 2
- Deploy Language Model(s) to our cluster exposing a completion API
- A mechanism to introspect language chain operations
- document `credentials.env` HOT 1
- [EPIC] Resource requirements and cost of foundation models HOT 3
- [EPIC] Serving Foundation Models
- [EPIC] Adapting Foundation Models
- add "external" collaborators HOT 2
- Serving LLMs on Open Data Hub / RHODS with ModelMesh HOT 1
- text-generation-webui as a platform for serving LLMs HOT 1
- Optimizing LLMs for max performance when serving on ODH HOT 1
- Distributed fine tuning of LLMs
- Human Evaluation of Generated Answers: Establishing Criteria and Guidelines for Assessment HOT 1
- Serve Rosa-Flan Model using Ray Serve HOT 1
- Prepare repository for public collaboration HOT 1
- Collection of Comparison Data for Reward Model Training HOT 1
- Issues with the application
- Add requirements.txt with pinned versions for each notebook
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