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Releases: RapidFireAI/rapidfireai

v0.12.8

12 Dec 20:01
2c60567

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Full Changelog: v0.12.7...v0.12.8

v0.12.7

11 Dec 06:31
255daaa

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Full Changelog: v0.12.6...v0.12.7

v0.12.6

18 Nov 19:08
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Full Changelog: v0.12.5...v0.12.6

v0.12.5

12 Nov 23:19
e157168

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Full Changelog: v0.12.4...v0.12.5

v0.12.4

11 Nov 20:37
7e00c1b

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Important Note

  • If using Colab, use pip install rapidfireai==0.11.1

What's Changed

Full Changelog: v0.12.3...v0.12.4

v0.12.3

04 Nov 06:37
dff723c

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Full Changelog: v0.12.2...v0.12.3

v0.12.2

04 Nov 06:16
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Full Changelog: v0.12.1...v0.12.2

v0.12.1

04 Nov 05:08
8673157

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What's Changed

Added

  • Initial open source release of RapidFire AI RAG for RAG inference and context engineering experimentation
  • Expanded Experiment API to add run_evals method
  • Added evals folder under rapidfireai with new controller, scheduler, workers, automl, etc. for RAG pipelines
  • Added 3 new tutorial notebooks for RAG and context engineering experiments: FiQA, GSM8K, and SciFact
  • Added evals-specific additional setup and requirements

Changes

  • Refactored rapidfireai folder to move sft/rft workflows under fit subfolder
  • Refactored tutorial_notebooks folder to move notebooks to evals vs. fit subfolders
  • Refactored setup folder to for specific additional requirements and comands for evals vs. fit
  • README updated to reflect support for RAG/context engineering workflows and evals installation

Full Changelog: v0.11.1...v0.12.1

v0.11.1

21 Oct 21:55
e624218

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Full Changelog: v0.10.2...v0.11.1

v0.10.2

10 Oct 05:38
6069526

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Full Changelog: v0.10.1...v0.10.2