SQL will continue to serve as the lingua franca but the world of data will speak in graphs, vectors, LLMs too– and relational databases will stay but not in the same chair. Here’s why?
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Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding
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 ...
AI coding tools have enabled a flood of bad code that threatens to overwhelm many projects. Building new features is easier ...
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Adaptive drafter model uses downtime to double LLM training speed
Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller steps. These powerful models are particularly good at challenging tasks ...
The company open-sourced an 8 billion parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...
Gensonix AI DB efficiency combined with the power of Meta's Llama 3B model and AMD's Radeon GPU architecture makes LLMs ...
If mHC scales the way early benchmarks suggest, it could reshape how we think about model capacity, compute budgets and the ...
Large language models (LLMs), artificial intelligence (AI) systems that can process human language and generate texts in ...
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.
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