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Author:
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Summary:
CARL (Coherence-Aware Reinforcement Learning) — information-theoretic reward signals for LLM training via token-level probability distributions
Latest version:
0.18.3
Required dependencies:
anyio
|
carl-core
|
numpy
|
pydantic
|
pydantic-settings
|
pyyaml
|
rich
|
typer
Optional dependencies:
a2a-python
|
anthropic
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arxiv
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hypothesis
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mcp
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peft
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prometheus-client
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pynacl
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pyperclip
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pyright
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pytest
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questionary
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ruff
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runpod
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sglang
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stripe-agent-toolkit
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textual
|
textual-plotext
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tinker
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torch
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trackio
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transformers
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trl
|
x402
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