Tag: llm
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Looking For Reliable AI? Enkrypt Identifies Safest LLMs With New Tool
Venturebeat made with DALL-E In the age of generative AI, the safety of large language models (LLMs) is just as important as their performance at different tasks. Many teams already realize this and are pushing the bar on their testing and evaluation efforts to foresee and fix issues that could lead to broken user…
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Open-Source or Closed-Source AI? Data Quality and Adaptability Matter More
Image Credit: Adobe As has happened with technology revolutions before, there is much debate over whether organizations should deploy commercial large language models (LLMs) or turn to the open-source community as they build generative AI applications. The answer, of course, is that it depends on what you’re trying to accomplish. Picking the right model and infusing…
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Why Training LLMs With Endpoint Data Will Strengthen Cybersecurity
VentureBeat made with DALL-E Capturing weak signals across endpoints and predicting potential intrusion attempt patterns is a perfect challenge for Large Language Models (LLMs) to take on. The goal is to mine attack data to find new threat patterns and correlations while fine-tuning LLMs and models. Leading endpoint detection and response (EDR) and extended detection…
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Google Deepmind Proposes Self-Discover Framework For LLMs, Improves GPT-4 Performance
Venturebeat made with Ideogram In a bid to enhance the reasoning capabilities of large language models (LLMs), researchers from Google Deepmind and University of Southern California have proposed a new ‘self-discover’ prompting framework. Published on arXiV and Hugging Face this morning, the approach goes beyond existing prompting techniques used by LLMs and has been found capable of improving the performance of known models out…
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