Sheriff suspended, indicted after confrontation with another officer
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Will it destroy federal legitimacy The post Was the Big Unread Bill a poison pill? appeared first on Downsize DC.
What I’ve learned about making Pandas faster after too many slow notebooks and frozen sessions The post 7 Pandas Performance Tricks Every Data Scientist Should Know appeared first on Towards Data Science.
Manufacturing better batteries, faster electronics, and more effective pharmaceuticals depends on the discovery of new materials and the verification of their quality. Artificial intelligence is helping with the former, with tools that comb through catalogs of materials to quickly tag promising candidates. But once a material is made, verifying its quality still involves scanning it with specialized instruments to validate its performance — an expensive and time-consuming step that can hold up the development and distribution of new […]
Author(s): Abinaya Subramaniam Originally published on Towards AI. If retrieval is the search engine of your RAG system, chunking is the foundation the search engine stands on. Even the strongest LLM fails when the chunks are too long, too short, noisy, or cut at the wrong place. That is why practitioners often say: “Chunking determines 70% of RAG quality.” Good chunking helps the retriever find information that is complete, contextual, and relevant while bad chunking creates fragmented, out […]
Vibe coding has devalued coding. Is there any meaningful work still left for us?
What recruiters are looking for in machine learning portfolios The post Don’t Build an ML Portfolio Without These Projects appeared first on Towards Data Science.
At GTC Paris — held alongside VivaTech, Europe’s largest tech event — NVIDIA founder and CEO Jensen Huang delivered a clear message: Europe isn’t just adopting AI — it’s building it. “We now have a new industry, an AI industry, and it’s now part of the new infrastructure, called intelligence infrastructure, that will be used by every country, every society,” Huang said, addressing an audience gathered online and at the iconic Dôme de Paris. From exponential inference growth […]
You can train, evaluate, and export a full ML pipeline in Python using TPOT with just a few lines of code.
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