Performance. Top-level APIs allow LLMs to achieve higher response speed and accuracy. They can be used for training purposes, as they empower LLMs to provide better replies in real-world situations.
A team of researchers in Japan released Fugaku-LLM, a large language model with enhanced Japanese language capability, using the RIKEN supercomputer Fugaku. A team of researchers in Japan released ...
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Anthropic study reveals it's actually even easier to poison LLM training data than first thought
Claude-creator Anthropic has found that it's actually easier to 'poison' Large Language Models than previously thought. In a ...
Researchers have developed a large language model that can perform some tasks better than OpenAI’s o1-preview at a tiny fraction of the cost. Last September, OpenAI introduced a reasoning-optimized ...
OpenAI today introduced GPT-4.5, a general-purpose large language model that it describes as its largest yet. The ChatGPT developer provides two LLM collections. The models in the first collection are ...
India now stands at the forefront of large language model adoption globally, outpacing other nations with its vibrant user ...
As IT-driven businesses increasingly use AI LLMs, the need for secure LLM supply chain increases across development, ...
Sigma Browser has announced the launch of Sigma Eclipse, the world’s first private AI-powered browser built around a fully cloudless large language model. The update introduces a new approach to ...
In the rapidly evolving field of natural language processing, a novel method has emerged to improve local AI performance, intelligence and response accuracy of large language models (LLMs). By ...
While the shortest distance between two points is a straight line, a straight-line attack on a large language model isn't always the most efficient — and least noisy — way to get the LLM to do bad ...
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