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.

Claude-creator Anthropic has found that it's actually easier to 'poison' Large Language Models than previously thought. In a recent blog post, Anthropic explains that as few as "250 malicious ...

Forbes contributors publish independent expert analyses and insights. Paul-Smith Goodson is an analyst covering quantum computing and AI. IBM and Red Hat recently introduced InstructLab, a new AI ...

Startup Zyphra Technologies Inc. today debuted Zyda, an artificial intelligence training dataset designed to help researchers build large language models. The startup, which is backed by an ...

Meta Platforms Inc.’s artificial intelligence research team said today it’s open-sourcing a suite of robust AI models called the Meta Large Language Model Compiler. According to the researchers, it ...

For those who enjoy rooting for the underdog, the latest MLPerf benchmark results will disappoint: Nvidia’s GPUs have dominated the competition yet again. This includes chart-topping performance on ...

As IT-driven businesses increasingly use AI LLMs, the need for secure LLM supply chain increases across development, ...

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