Shengsheng Huang

I think we should make our default install a minimum viable option for the most common or our most recommended usage. In this sense, - we should not include ml...

maybe separate the lightweight-hpo with other all options, since it only requires optuna and configspace. - use lw automl on single node: `chornos[automl]`- for both pytorch and tensorflow - use...

Another related topic we may consider. Shall we separate chornos further into chronos-forecaster, chronos-detector, and chronos-simulator, chronos-data?

@jason-dai added flow chart for how to choose lib in BigDL.

Maybe use an object and expose two APIs: `optimize()` and `export()`

> I can't seem to push to this PR (sadly) > > Can you update `llama-index-integrations/llms/llama-index-llms-ipex-llm/BUILD `: > > ``` > poetry_requirements( > name="poetry", > ) > ``` > >...

> @shane-huang getting close! I think we need to add torch and transformers dependencies to the `pyproject.toml` -- otherwise, the tests will fail I added `ipex-llm` dependencies in pyproject (will...

Also need to update the README here https://github.com/intel-analytics/BigDL/blob/main/python/llm/README.md

please resolve the conflicts.

and also modify the verified model table in python/llm/README.md