💬 LLMs

GPT, Prompt Engineering, Fine-tuning, Embeddings

Drake: Model-Based Design and Verification for Robotics
drake.mit.edu·12h
🤖AI
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Our latest commitments in AI and learning
blog.google·1d
🤖AI
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Explorations of RDMA in LLM Systems
le.qun.ch·1d·
Discuss: Hacker News
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6 AI Prompts That Help You Get Freelance Coding Clients (Copy + Paste for Inspiration)
apps.apple.com·15h·
Discuss: r/ClaudeAI
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Demystifying AI Tools, AI Agents, and Agentic Workflows
cacm.acm.org·14h
🤖AI
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Long Grounded Thoughts: Distilling Compositional Visual Reasoning Chains at Scale
arxiv.org·1d
🤖AI
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Attention and Compression is all you need for Controllably Efficient Language Models
arxiv.org·2d
🤖AI
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Rethinking Explanation Evaluation under the Retraining Scheme
arxiv.org·5h
🤖AI
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Wasm: A Pipeline for Constructing Structured Arabic Interleaved Multimodal Corpora
arxiv.org·1d
🤖AI
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From Visibility to Decisiveness: Operation Intelligence Redefines the Intelligent O&M Paradigm for Enterprises
dev.to·2h·
Discuss: DEV
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Annotation-Efficient Universal Honesty Alignment
paperium.net·2d·
Discuss: DEV
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REACT-LLM: A Benchmark for Evaluating LLM Integration with Causal Features in Clinical Prognostic Tasks
arxiv.org·1d
🤖AI
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A Practical Guide to Building AI Agents with Java and Spring AI - Part 2 - Add Memory
dev.to·1d·
Discuss: DEV
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Resilient AI: Making Imperfect Hardware Smarter
dev.to·1d·
Discuss: DEV
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GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning
arxiv.org·1d
🤖AI
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L2T-Hyena: Enhancing State-Space Models with an Adaptive Learn-to-Teach Framework
arxiv.org·1d
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Decoding the Impossible: AI That Makes Math Understandable by Arvind Sundararajan
dev.to·1h·
Discuss: DEV
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Pipelex: Building Reliable AI Workflows with Business Logic, Not API Calls
pub.towardsai.net·12h
🤖AI
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I built a runtime for Ai models to develop their own identity over time... And they remember, even when you swap out models.
reddit.com·1d·
Discuss: r/LLM
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Time-Aware Policy Learning for Adaptive and Punctual Robot Control
arxiv.org·5h
🤖AI
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