René's URL Explorer Experiment

Title: GitHub - masterFoad/optillm: Optimizing inference proxy for LLMs

Open Graph Title: GitHub - masterFoad/optillm: Optimizing inference proxy for LLMs

X Title: GitHub - masterFoad/optillm: Optimizing inference proxy for LLMs

Description: Optimizing inference proxy for LLMs. Contribute to masterFoad/optillm development by creating an account on GitHub.

Open Graph Description: Optimizing inference proxy for LLMs. Contribute to masterFoad/optillm development by creating an account on GitHub.

X Description: Optimizing inference proxy for LLMs. Contribute to masterFoad/optillm development by creating an account on GitHub.

Opengraph URL: https://github.com/masterFoad/optillm

X: @github

direct link

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README	https://patch-diff.githubusercontent.com/masterFoad/optillm
License	https://patch-diff.githubusercontent.com/masterFoad/optillm
	https://patch-diff.githubusercontent.com/masterFoad/optillm#optillm
	https://huggingface.co/spaces/codelion/optillm
	https://colab.research.google.com/drive/1SpuUb8d9xAoTh32M-9wJsB50AOH54EaH?usp=sharing
	https://github.com/codelion/optillm/discussions
	https://patch-diff.githubusercontent.com/masterFoad/optillm#installation
	https://patch-diff.githubusercontent.com/masterFoad/optillm#using-pip
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here	https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/managed-identity
	https://patch-diff.githubusercontent.com/masterFoad/optillm#usage
LiteLLM sdk	https://docs.litellm.ai/docs/#litellm-python-sdk
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	https://patch-diff.githubusercontent.com/masterFoad/optillm#references
Chain of Code: Reasoning with a Language Model-Augmented Code Emulator	https://arxiv.org/abs/2312.04474
Implementation	https://github.com/codelion/optillm/blob/main/optillm/plugins/coc_plugin.py
Entropy Based Sampling and Parallel CoT Decoding	https://github.com/xjdr-alt/entropix
Implementation	https://github.com/codelion/optillm/blob/main/optillm/entropy_decoding.py
Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation	https://arxiv.org/abs/2409.12941
Evaluation script	https://github.com/codelion/optillm/blob/main/scripts/eval_frames_benchmark.py
Writing in the Margins: Better Inference Pattern for Long Context Retrieval	https://www.arxiv.org/abs/2408.14906
Inspired the implementation of the memory plugin	https://github.com/codelion/optillm/blob/main/optillm/plugins/memory_plugin.py
Chain-of-Thought Reasoning Without Prompting	https://arxiv.org/abs/2402.10200
Implementation	https://github.com/codelion/optillm/blob/main/optillm/cot_decoding.py
Re-Reading Improves Reasoning in Large Language Models	https://arxiv.org/abs/2309.06275
Implementation	https://github.com/codelion/optillm/blob/main/optillm/reread.py
In-Context Principle Learning from Mistakes	https://arxiv.org/abs/2402.05403
Implementation	https://github.com/codelion/optillm/blob/main/optillm/leap.py
Planning In Natural Language Improves LLM Search For Code Generation	https://arxiv.org/abs/2409.03733
Implementation	https://github.com/codelion/optillm/blob/main/optillm/plansearch.py
Self-Consistency Improves Chain of Thought Reasoning in Language Models	https://arxiv.org/abs/2203.11171
Implementation	https://github.com/codelion/optillm/blob/main/optillm/self_consistency.py
Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers	https://arxiv.org/abs/2408.06195
Implementation	https://github.com/codelion/optillm/blob/main/optillm/rstar.py
Mixture-of-Agents Enhances Large Language Model Capabilities	https://arxiv.org/abs/2406.04692
Inspired the implementation of moa	https://github.com/codelion/optillm/blob/main/optillm/moa.py
Prover-Verifier Games improve legibility of LLM outputs	https://arxiv.org/abs/2407.13692
Implementation	https://github.com/codelion/optillm/blob/main/optillm/pvg.py
Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning	https://arxiv.org/abs/2405.00451
Inspired the implementation of mcts	https://github.com/codelion/optillm/blob/main/optillm/mcts.py
Unsupervised Evaluation of Code LLMs with Round-Trip Correctness	https://arxiv.org/abs/2402.08699
Inspired the implementation of rto	https://github.com/codelion/optillm/blob/main/optillm/rto.py
Patched MOA: optimizing inference for diverse software development tasks	https://arxiv.org/abs/2407.18521
Implementation	https://github.com/codelion/optillm/blob/main/optillm/moa.py
Patched RTC: evaluating LLMs for diverse software development tasks	https://arxiv.org/abs/2407.16557
Implementation	https://github.com/codelion/optillm/blob/main/optillm/rto.py
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