Reducing Human Annotation with ML Active Learning
In a world where human time is expensive, learn how to use it only when really necessary The post Reducing Human Annotation with ML Active Learning appeared first on Towards Data Science.
In a world where human time is expensive, learn how to use it only when really necessary The post Reducing Human Annotation with ML Active Learning appeared first on Towards Data Science.
Using mathematical optimization to solve a pickup-and-delivery problem with time windows. The post “Los Movimientos”: The Routing Problem That Nearly Broke My Spirit appeared first on Towards Data Science.
The mean keeps making its usefulness felt in all sorts of situations, often in truly non-obvious ways The post The Most Beautiful Statistic: The History and the Science of the Humble Mean appeared first on Towards Data Science.
A practical reproduction of three retrieval baselines, including the crashes, fixes, and score checks that matter for RAG systems. The post How I Reproduced BM25, Dense Retrieval, and SPLADE on a 16GB MacBook appeared first on Towards Data Science.
Maximize your efficiency with Claude Code The post How to Efficiently Prompt Claude Code appeared first on Towards Data Science.
Building a browser-use agent with OpenAI Agents SDK and Playwright MCP The post How to Give an LLM Agent a Browser appeared first on Towards Data Science.
Augmental introduced two new accessibility products A lot of the gadgets that get promoted at CES never make it past the concept stage so it’s cool to see this mouth mouse hit the market. Introduced by Augmental at CES 2024, the MouthPad is like a retainer that gives you full cursor control with your tongue.…
I generated a Kármán vortex street without solving a single fluid equation. Here's how the Lattice Boltzmann Method gets there instead, derived from first principles, implemented in C++, and run on a supercomputer. The post The Fluid Simulator That Doesn’t Solve the Fluid Equations appeared first on Towards Data Science.
Architecting cost-effective infrastructure by navigating the latency and storage trade-offs of HNSW, SPANN, and DiskANN The post How to Optimize Vector Search When RAM Gets Too Expensive: On-Disk vs. In-Memory ANN Indexes appeared first on Towards Data Science.
Most AI memory systems keep the newest information—not the most important. Here's how I used the Ebbinghaus forgetting curve to build a better memory engine for LLMs. The post Context Windows Forget What Matters — I Built a Usage-Reinforced Decay Engine for AI Agent Memory appeared first on Towards Data Science.