OpenAI, Anthropic, LLMs, RAG, programming, Python, embeddings, vectors

Topographical sparse mapping: A training framework for deep learning models
sciencedirect.com·1d·
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Continuous Autoregressive Language Models : Alternate for traditional LLMs, paper by Tencent
reddit.com·5h·
Discuss: r/LocalLLaMA
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React for Datasets
usetorque.dev·1h·
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We Started with Jax but Moved to PyTorch
mlechner.substack.com·1h·
Discuss: Substack
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The Curved Spacetime of Transformer Architectures
arxiv.org·13h·
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Continuous Autoregressive Language Models
shaochenze.github.io·1d·
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The future of LLMs: cognitive core and cartridges?
killerstorm.github.io·20h·
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OpenAI Model Spec
model-spec.openai.com·10h·
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LazyLLM, Easiest and laziest way for building multi-agent LLMs applications
github.com·18h·
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Mathematical exploration and discovery at scale
terrytao.wordpress.com·14h·
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Show HN: DeepFaceLab – Free AI Face Swap Online
deepfacelab.app·14h·
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AI Native Architecture: Intelligence by Design
sumant.bearblog.dev·14h·
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Towards Humanist Superintelligence
microsoft.ai·4h·
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The AI Village Where Top Chatbots Collaborate–and Compete
time.com·2d·
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Inception releases upgraded Mercury dLLM with improved coding and reasoning
inceptionlabs.ai·49m·
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Engineer's Guide to Local LLMs with LLaMA.cpp on Linux
avatsaev.substack.com·11h·
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How AI is fueling an existential crisis in education
theverge.com·3h
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The AI ick
stackoverflow.blog·1d·
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OpenAPI won't make your APIs AI-ready. But Arazzo can
bump.sh·4h·
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Kosmos: Next-generation AI Scientist
edisonscientific.com·1h·
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