repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago
algorithmicsuperintelligence/optillm
Optimizing inference proxy for LLMs
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 58%Evaluate a model properly →
- PossiblePossibly related (embedding) · 52%OpenAI and Broadcom announce chip designed for LLM inference at scale →
- PossiblePossibly related (embedding) · 52%OpenAI and Broadcom unveil LLM-optimized inference chip →
- PossiblePossibly related (embedding) · 48%PACE: A Proxy for Agentic Capability Evaluation →
- PossiblePossibly related (embedding) · 48%Would having a dedicated programming language specifically for LLMs be a viable solution? [D] →
- PossiblePossibly related (embedding) · 47%Off Grid AI Runs Full LLM Inference With No Internet Required - Carroll County Mirror-Democrat →
- PossiblePossibly related (embedding) · 47%LLMs know when they are wrong. I made a fix relating to Anthropic's new "global workspace" paper [R] →
- PossiblePossibly related (embedding) · 50%We compared different LLMs on IMO 2026 [R] →
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Related across the graph
newsOpenAI and Broadcom announce chip designed for LLM inference at scalenewsOpenAI and Broadcom unveil LLM-optimized inference chipnewsOff Grid AI Runs Full LLM Inference With No Internet Required - Carroll County Mirror-DemocratnewsWould having a dedicated programming language specifically for LLMs be a viable solution? [D]paperPACE: A Proxy for Agentic Capability EvaluationtutorialEvaluate a model properlynewsWe compared different LLMs on IMO 2026 [R]newsLLMs know when they are wrong. I made a fix relating to Anthropic's new "global workspace" paper [R]
