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Releases: stanfordnlp/dspy

2.4.17

22 Sep 05:17
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Full Changelog: 2.4.16...2.4.17

2.4.16

13 Sep 13:18
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This is a pretty significant release. New dspy.LM and dspy.Adapter will be key for DSPy 2.5 onwards. Old clients are unaffected for now.

What's Changed

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Full Changelog: 2.4.15...2.4.16

2.4.15

12 Sep 21:28
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Full Changelog: 2.4.14...2.4.15

DSPy v2.4.14

01 Sep 15:51
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Update pyproject.toml

DSPy v2.4.13

29 Jul 19:56
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  • supports configurable backoff time for LM/RM providers dspy.settings.configure(backoff_time = ...)
  • latest PR changes and updates (Langchain Metaclass resolution, addition of Langchain Tool Execution, MIPROv2 parameter updates, LM/RM Provider updates)

Full Changelog: v2.4.12...2.4.13

DSPy v2.4.12

08 Jul 14:55
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  • Supports treating dspy.Predict and dspy.ChainOfThought directly as Modules, e.g. can compile them without creating a wrapping dspy.Module object.

  • Improves the experimental=True Chat LM support from DSPy v2.4.11, which is quoted below for reference:

Initial support for new adapters, with far more smooth support for Chat LMs. The default behavior is unchanged from before. However, dspy.configure(experimental=True) is likely to lead to much more predictable and accurate zero-shot generations with Chat LMs. Tested against several variants of GPT-3.5, GPT-4, Llama3, Mixtral, and DBRX.

DSPy v2.4.11

06 Jul 23:11
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All sorts of PRs over the past two weeks.

Most importantly, initial support for new adapters, with far more smooth support for Chat LMs.

The default behavior is unchanged from before. However, dspy.configure(experimental=True) is likely to lead to much more predictable and accurate zero-shot generations with Chat LMs. Tested against several variants of GPT-3.5, GPT-4, Llama3, Mixtral, and DBRX.

DSPy v2.4.10

21 Jun 15:15
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MIPROv2 and everything else from May 2024 and up to June 20th.

DSPy v2.4.9

29 Apr 21:02
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Update pyproject.toml

DSPy v2.4.3

08 Apr 16:52
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Update pyproject.toml