Quantifying Edits Decay in Fine-tuned LLMs
arxiv.org·18h
🤖AI
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MoM – Mixture of Model Service
🤖AI
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Vibe-tuning: creating custom models with a prompt
🤖AI
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Andrej Karpathy on LLM cognitive deficits
lesswrong.com·1d
🤖AI
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Running high-scale reinforcement learning (RL) for LLMs on GKE
cloud.google.com·1d
💻Software development
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So-called reasoning models are more efficient but not more capable than regular LLMs, study finds
the-decoder.com·4h
🤖AI
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From Zero to LLMOps Hero: Your 101 Guide to Running LLMs in Production
analyticsvidhya.com·1d
🤖AI
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MENTOR: A Metacognition-Driven Self-Evolution Framework for Uncovering and Mitigating Implicit Risks in LLMs on Domain Tasks
arxiv.org·18h
🤖AI
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Training GPT in Sheets
🤖AI
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Synth: The New Data Frontier
🤖AI
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Context rot: the emerging challenge that could hold back LLM progress
understandingai.org·1d
🤖AI
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4 open‑source apps I use to run AI locally
xda-developers.com·8h
🤖AI
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AGRAG: Advanced Graph-based Retrieval-Augmented Generation for LLMs
arxiv.org·18h
🤖AI
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Apple's LLM Breakthrough
🤖AI
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Evaluating LLMs' Reasoning Over Ordered Procedural Steps
arxiv.org·1d
🤖AI
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TAI #178: Kimi K2 Thinking Steals the Open-Source Crown With a New Agentic Contender
pub.towardsai.net·8h
🤖AI
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