14don MSNOpinion
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 ...
Microsoft Corp. has developed a series of large language models that can rival algorithms from OpenAI and Anthropic PBC, multiple publications reported today. Sources told Bloomberg that the LLM ...
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 ...
Of the LLMs researchers tested, "GPT-series models were found four times less likely to generate hallucinated packages compared to open-source models, with a 5.2% hallucination rate compared to 21.7%, ...
America’s AI industry was left reeling over the weekend after a small Chinese company called DeepSeek released an updated version of its chatbot last week, which appears to outperform even the most ...
XDA Developers on MSN
How NotebookLM made self-hosting an LLM easier than I ever expected
With a self-hosted LLM, that loop happens locally. The model is downloaded to your machine, loaded into memory, and runs ...
Rockchip unveiled two RK182X LLM/VLM accelerators at its developer conference last July, namely the RK1820 with 2.5GB RAM for ...
Companies investing in generative AI find that testing and quality assurance are two of the most critical areas for improvement. Here are four strategies for testing LLMs embedded in generative AI ...
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