LLMs & Generative AI - Page 72 of 72
Latest breakthroughs in large language models and generative AI shaping the future of artificial intelligence and machine learning.
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Nvidia's New Training Method Teaches AI Models to "Think" Before They Answer
For years, large language models have been trained to do one thing above all else: guess the next word. They chew through oceans of text, learning statistical patterns, but never truly *thinking* about what comes next.
Together AI's ATLAS Boosts Inference Speed 400% by Adapting to Workloads
Inference speed is the lifeblood of production AI. But there’s a silent killer draining it: workload drift. Most speculative decoding models are frozen in time, trained once on a fixed set of assumptions, then deployed and forgotten.
Claude Code Adds Plugin Support to Boost Developer Customization
Every AI coding assistant sells you a custom fit. Most hand you a static toolbox. That’s why the beta launch of Claude Code’s plugin support stands out.
New Study Analyzes Dialectical Bias in LLMs on Reasoning Benchmarks
A 20% accuracy penalty, that’s the cost of asking an LLM a question in African American Vernacular English instead of standard American English.
Google's Free Gemini Browser Agent Clicks and Types on Websites
The browser is no longer just a window, it’s a puppet, and Google just handed you the strings. Gemini 2.5 Pro, powered by DeepMind’s latest agentic architecture, can now look at a webpage, decide what to do, and actually do it. Click. Type. Scroll.
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