💬 LLMs

GPT, Prompt Engineering, Fine-tuning, Embeddings

Show HN: Charl – ML language with native tensors and autograd
charlbase.org·1d·
Discuss: Hacker News
🤖AI
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How Lightricks trains video diffusion models at scale with JAX on TPU
cloud.google.com·9h
🤖AI
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AI Genesis: Building Neural Networks from Random Noise
dev.to·1h·
Discuss: DEV
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MCP-RiskCue: Can LLM infer risk information from MCP server System Logs?
arxiv.org·21h
🤖AI
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Mind readers: How large language models encode theory-of-mind
techxplore.com·6h
🤖AI
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DRAGON: Guard LLM Unlearning in Context via Negative Detection and Reasoning
arxiv.org·21h
🤖AI
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Beyond the Basics: 5 Advanced Prompting Strategies that Turn LLMs into Autonomous Agents (Prompt Engineering for Devs - Part 3)
dev.to·1d·
Discuss: DEV
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RL Environments and the Hierarchy of Agentic Capabilities
surgehq.ai·8h·
Discuss: Hacker News
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baidu/ERNIE-4.5-VL-28B-A3B-Thinking released. Curious case..
huggingface.co·21h·
Discuss: r/LocalLLaMA
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Building an ML Language from Scratch: Introducing Charl
dev.to·1d·
Discuss: DEV
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Right-sized AI: Good for business, users, and the planet
web.dev·1d·
Discuss: Hacker News
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“Reasoning with Sampling” — Notes on Karan & Du (2025)
kosti.bearblog.dev·2d
🤖AI
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Minimal and Mechanistic Conditions for Behavioral Self-Awareness in LLMs
arxiv.org·1d
🤖AI
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HLPD: Aligning LLMs to Human Language Preference for Machine-Revised Text Detection
arxiv.org·21h
🤖AI
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🚀LLM Overthinking? DTS makes LLM think shorter and answer smarter
reddit.com·1h·
Discuss: r/LocalLLaMA
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Kimi K2 thinking, GLM 4.6 and Minimax M2 - the new era of opensource models?
reddit.com·2h·
Discuss: r/LocalLLaMA
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Parametric Pareto Set Learning for Expensive Multi-Objective Optimization
arxiv.org·21h
🤖AI
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Thick practices for AI tools
lesswrong.com·13h
🤖AI
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Optimistic Online-to-Batch Conversions for Accelerated Convergence and Universality
arxiv.org·21h
🤖AI
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GKE: From containers to agents, the unified platform for every modern workload
cloud.google.com·14h
💻Software development
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