An introduction to program synthesis (Part II) - Automatically generating features for machine learning
mchav.github.ioΒ·1dΒ·
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Embedding TypeScript
andrews.substack.comΒ·5hΒ·
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OpenAI Model Spec
model-spec.openai.comΒ·7hΒ·
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Accumulating Context Changes the Beliefs of Language Models
lm-belief-change.github.ioΒ·8hΒ·
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Learning Without Critics? Revisiting GRPO in Classical Reinforcement Learning Environments
arxiv.orgΒ·10h
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Pool allocator in C++23 for simulations / game engines - faster than std::pmr
github.comΒ·1hΒ·
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How reliable are AI agents?
droidrun.aiΒ·3hΒ·
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GMoPE:A Prompt-Expert Mixture Framework for Graph Foundation Models
arxiv.orgΒ·10h
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Cutting LLM Batch Inference Time in Half: Dynamic Prefix Bucketing at Scale
daft.aiΒ·1dΒ·
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Code That Writes Itself: The Era of Example-Driven Programming by Arvind Sundararajan
dev.toΒ·10hΒ·
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AI Papers to Read in 2025
towardsdatascience.comΒ·17h
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Go Generics: Use Cases and Patterns
dev.toΒ·5hΒ·
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Attention ISN'T all you need?! New Qwen3 variant Brumby-14B-Base leverages Power Retention technique
venturebeat.comΒ·1d
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On Improvisation and Open-Endedness: Insights for Experiential AI
arxiv.orgΒ·2d
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OpenAI engineers don’t prompt like you do.
threadreaderapp.comΒ·7h
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Development Trends and Architecture Evolution of AI Agents
dev.toΒ·3dΒ·
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Understanding the Bridge Design Pattern in Go: A Practical Guide
reddit.comΒ·56mΒ·
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Build123d (A Python CAD programming library) Roadmap
github.comΒ·15hΒ·
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