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Merge pull request #831 from llmware-ai/doberst-patch-1
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Update README.md
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doberst authored Jun 4, 2024
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Expand Up @@ -804,13 +804,16 @@ Questions and discussions are welcome in our [github discussions](https://github

See also [additional deployment/install release notes in wheel_archives](https://github.com/llmware-ai/llmware/tree/main/wheel_archives)

**Wednesday, May 29 - v0.3.0-WIP**
**Tuesday, June 4 - v0.3.0-WIP**
- Added support for new Milvus Lite embedded 'no-install' database - see [example](https://github.com/llmware-ai/llmware/tree/main/examples/Embedding/using_milvus_lite.py).
- Added two new SLIM models to catalog and agent processes - ['q-gen'](https://github.com/llmware-ai/llmware/tree/main/examples/SLIM-Agents/using-slim-q-gen.py) and ['qa-gen'](https://github.com/llmware-ai/llmware/tree/main/examples/SLIM-Agents/using-slim-qa-gen.py)
- Updated model class instantiation to provide more extensibility to add new classes in different modules
- Planning to remove torch and transformers from pip install package
- If cloning the repo, please see the new welcome_to_llmware.sh and welcome_to_llmware_windows.sh fast install scripts
- Changes merged in main branch and will be released in pypi targeting end of week
- Enhanced Model class base with new configurable post_init and register methods
- Created InferenceHistory to track global state of all inferences completed
- Multiple improvements and updates to logging at module level
- Note: will be removing torch and transformers from pip install package to simplify install
- Changes merged in main branch and will be released in pypi targeting Weds, June 5 EOD

**Wednesday, May 22 - v0.2.15**
- Improvements in Model class handling of Pytorch and Transformers dependencies (just-in-time loading, if needed)
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