Open Source LLMs

Open weights, local models, model releases, and community inference stacks.

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2026-07-29 14:45 UTC

Study on Developer Experience with Code Tours Generated by Open-Weight LLMs

This study examines how developers interact with code tours—interactive onboarding tools—automatically generated and evaluated by open-weight large language models (LLMs) when debugging unfamiliar codebases. It focuses on developer experience and trust calibration, areas not previously explored in...

arXiv OPEN SOURCE TECHNICAL

SOURCE-BACKED 95% Open signal Original source

2026-07-28 21:26 UTC

Study on Prompt Scope and Demonstration Selection in LLM Machine Translation

This paper examines how large language models perform machine translation when prompted with varying scopes, such as translating into multiple related languages or using example-based conditioning. It highlights the impact of prompt design and demonstration similarity on translation outcomes.

arXiv OPEN SOURCE TECHNICAL

SOURCE-BACKED 95% Open signal Original source

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Open weights, local models, model releases, and community inference stacks.