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Coding Agents Don't Need Longer History β€” They Need Intent Continuity

I built a system that automatically discovers, verifies, and applies relevant requirements from earlier interactions without asking the user where they came from.

The post Coding Agents Don't Need Longer History β€” They Need Intent Continuity appeared first on Towards Data Science.

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CUDA Python 1.0: Stable APIs, One Foundation, Full Platform Access

For years, a Python developer who needed a GPU had two realistic choices: Learn NVIDIA CUDA C++ well enough to write an extension, set up a build toolchain, and...

For years, a Python developer who needed a GPU had two realistic choices: Learn NVIDIA CUDA C++ well enough to write an extension, set up a build toolchain, and maintain bindings back to Python, which most people never did; or move up the stack and let someone else’s library do it, namely PyTorch, CuPy, or RAPIDS. The second option is why the Python GPU ecosystem thrives. But it has limits.

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Estimating from No Data: Deriving a Continuous Score from Categories

A walkthrough of and the maths behind using low-capacity networks to acquire fine-grained scoring when only categorical labelling is available for training

The post Estimating from No Data: Deriving a Continuous Score from Categories appeared first on Towards Data Science.

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Estimating from No Data: Deriving a Continuous Score from Categories

A walkthrough of and the maths behind using low-capacity networks to acquire fine-grained scoring when only categorical labelling is available for training

The post Estimating from No Data: Deriving a Continuous Score from Categories appeared first on Towards Data Science.

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Kimi K3’s 1M Token Context Window vs. RAG: Cost, Latency and Answer Quality

A controlled comparison of a top-5 RAG pipeline and a full 127,000 token prompt on the same 12 questions, same system prompt and same model. Graded blind on correctness, completeness and grounding.

The post Kimi K3’s 1M Token Context Window vs. RAG: Cost, Latency and Answer Quality appeared first on Towards Data Science.

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