TechCrunch was proud to host TELUS Digital at Disrupt 2024 in San Francisco. Here’s an overview of their Roundtable session. Large language models (LLMs) have revolutionized AI, but their success ...

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Super Venture Capitalists Bill Gurley and Brad Gerstner analyze the future of AI. The rate of improvement of large language models is slowing for pre-training. However, it is still improving and AI ...

On the surface, it seems obvious that training an LLM with “high quality” data will lead to better performance than feeding it any old “low quality” junk you can find. Now, a group of researchers is ...

Understanding precisely how the output of a large language model (LLM) matches with training data has long been a mystery and a challenge for enterprise IT. A new open-source effort launched this week ...

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 ...

Forbes contributors publish independent expert analyses and insights. Anjana Susarla is a professor of Responsible AI at the Eli Broad College of Business at Michigan State University. Amidst all the ...

Artificial intelligence has raced ahead in capability, but the question of privacy lingers like a shadow over every large language model (LLM). What happens when models memorise personal data from ...

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.

ETH Zurich and EPFL’s open-weight LLM offers a transparent alternative to black-box AI built on green compute and set for public release. Large language models (LLMs), which are neural networks that ...