companyAngestromTrust 62Published 3mo agoLive · 3mo ago
Lattice Labs
Infrastructure for training and serving open models efficiently.
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Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- LinkedLinked via unknownMoh4696/free-ai-models →
- LinkedLinked via unknownIs it agentic enough? Benchmarking open models on your own tooling →
- LinkedLinked via unknownPredicting model behavior before release by simulating deployment →
- LinkedLinked via unknownHelix-7B →
- LinkedLinked via unknownMajor lab releases open weights for a frontier model →
- LinkedLinked via unknownHypothetically speaking... →
- LinkedLinked via unknownIEEE Rolls Out Large Language Models Virtual Training Course →
- LinkedLinked via unknownInstead of decentralized training effort we should build the “One dataset” →
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newsIs it agentic enough? Benchmarking open models on your own toolingnewsPredicting model behavior before release by simulating deploymentnewsMajor lab releases open weights for a frontier modelnewsHypothetically speaking...newsIEEE Rolls Out Large Language Models Virtual Training CoursenewsInstead of decentralized training effort we should build the “One dataset”newsDeepSeek open sources DSpark, a new framework to speed up LLM inference by up to 85%newsMy reasons to run local modelsnewsMeet Open Dreamer: A JAX/Flax Reproduction of the Dreamer 4 World Model Pipeline, With the Full Training Recipe Published - MarkTechPost
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