With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.
Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
The company open sourced an 8-billion-parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...
Abstract: Despite the potential of large language model (LLM) based register-transfer-level (RTL) code generation, the overall success rate remains unsatisfactory, with limited understanding of the ...
Vibe coding isn’t just prompting. Learn how to manage context windows, troubleshoot smarter, and build an AI Overview ...
Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...
What happens when a company decides to tighten its grip on how users interact with its platform? That’s the question at the heart of a recent shift by Anthropic, the AI company behind Claude Code, ...
I am a Senior Member of Technical Staff at Salesforce, where I build AI-driven enterprise solutions that integrate LLM. I am a Senior Member of Technical Staff at Salesforce, where I build AI-driven ...
AI tools like Google’s Veo 3 and Runway can now create strikingly realistic video. WSJ’s Joanna Stern and Jarrard Cole put them to the test in a film made almost entirely with AI. Watch the film and ...
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