Common statistical tests are linear models (or: how to teach stats)
lindeloev.github.io·3d·
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Hospital Shift Scheduling with OR-Tools
barkeywolf.consulting·1d·
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Reasoning Models + Tool Use outperform most vision models for complex object detection
reddit.com·1d·
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Claude is competitive with humans in (some) cyber competitions
red.anthropic.com·19h·
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SAT Requires Exhaustive Search
link.springer.com·6d·
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Comparing agent memory kits (Letta, MemOS, Cognee, etc)
cognee.ai·2d·
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From GPT-2 to gpt-oss: Analyzing the Architectural Advances
magazine.sebastianraschka.com·2d·
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Built a new VLM (MicroLlaVA) on a single NVIDIA 4090
reddit.com·15h·
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AI: Great Expectations
rodneybrooks.com·8h·
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Logarithmic mean energy optimization a metaheuristic algorithm
nature.com·1d·
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Pushing the limits of long-context LLM training for 1M-token+ medical records
akasa.com·3d·
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Self-attention mechanism explained
jtlicardo.com·18h·
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Reinforcement Learning Conference 2025: Outstanding Paper Awards
rl-conference.cc·18h·
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All you need to know about Tokenization in LLMs
medium.com·1d·
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I tried coding with AI, I became lazy and stupid
thomasorus.com·15h·
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Diffusion Language Models Are Super Data Learners
jinjieni.notion.site·1d·
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Microsoft POML – Prompt Orchestration Markup Language
github.com·1d·
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OCaml Blockly
cambridge.org·7h·
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Apple taught an LLM to predict tokens up to 5x faster in math and coding tasks
9to5mac.com·2d·
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"Brand New Result Proving Penrose and Tao's Uncomputability in Physics" [video]
youtube.com·13h·
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