LLM Applications, Chains, Prompt Engineering, AI Orchestration

The Silent Void
talisman.org·3h·
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Reverse Engineering Yaesu FT-70D Firmware Encryption
landaire.net·3h·
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The Fuss About Fil-C...
i-programmer.info·16h
nextjs
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Building Scalable and Fault-Tolerant NCCL Applications
developer.nvidia.com·3d
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Generative AI and the bullshit singularity
daedtech.com·1d·
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A new AI platform does more than ChatGPT without a monthly fee
mashable.com·1d
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The Great Resignation and the Future of Network Engineering
forbes.com·2h·
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Knative Has Finally Graduated From the CNCF
thenewstack.io·12h
nextjs
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So-called reasoning models are more efficient but not more capable than regular LLMs, study finds
the-decoder.com·1d
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Show HN: Built a portable memory layer that works across AI tools
news.ycombinator.com·1d·
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Coherence Mechanisms for Provable Self-Improvement
arxiv.org·1d
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How to build your own AI Coding assistant
dev.to·1h·
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Provable Benefit of Curriculum in Transformer Tree-Reasoning Post-Training
arxiv.org·2d
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How I Built a Thunderbird Translator Without Coding Experience Using AI
dev.to·2h·
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QueST: Incentivizing LLMs to Generate Difficult Problems
dev.to·3d·
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Multi-Modal Alloy Microstructure Prediction via Deep Graph Convolutional Networks
dev.to·1d·
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Progressive Learning: AI Deployment Strategies from Basic to Advanced
dev.to·4d·
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Retrieval-Augmented Generation of Pediatric Speech-Language Pathology vignettes: A Proof-of-Concept Study
arxiv.org·6h
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Information Capacity: Evaluating the Efficiency of Large Language Models via Text Compression
arxiv.org·1d
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