Originally published in the-decoder.com, Oct 18, 2024. Nvidia has introduced a new large language model that outperforms others in alignment benchmarks. The company achieved this through a special training procedure combining evaluation and preference models. The new model, called Llama-3.1-Nemotron-70B-Instruct, is based on Meta’s open-source Llama 3.1 model. Nvidia optimized it to provide helpful
Originally published in the Monte Carlo blog, July 15 2024. Despite all the talk about AI replacing humans, Skynet blowing up the sun, and deep-fake celebrities parenting our children, it’s difficult to point to a generative AI...
Originally published in ai.meta.com/blog, August 7, 2024. This is the third blog post in a series about adapting open source large language models (LLMs). In this post, we explore some rules of thumb for curating a good...
Originally published in The Verge, July 29, 2024. When Simone Biles saluted the judges and stepped onto the mat to vault at the Sportpaleis in Antwerp, Belgium, it seemed like every camera in the packed arena was...
Originally published on cnbc, July 25, 2024. KEY POINTS Visa is using artificial intelligence and machine learning such as risk scoring to counter fraud, the firm said. “We look at over 500 different attributes around transaction,...
Originally published in nature, July 25, 2024. The models that underpin artificial-intelligence systems such as ChatGPT can be subject to attacks that elicit harmful behaviour. Making them safe will not be easy. In 2015, computer scientist Ian...
Originally published in nature, July 25, 2024. AlphaProof showed its prowess on questions from this year’s Mathematical Olympiad — a step in the race to create substantial proofs with artificial intelligence. After beating humans at everything from...
Originally published in MIT Management, September 19, 2023. Why It Matters Relevance-based prediction can be used in finance, politics, and sports for more accurate forecasting. What if we told you there was a new financial forecasting model...
Originally published in US Santa Cruz NEWSCENTER, February 12, 2024 New research indicates that methods used to test the accuracy of link prediction are flawed, and that link prediction does not work as well as common benchmarking...
Originally published in Sequoia Stories, June 20, 2024. The AI bubble is reaching a tipping point. Navigating what comes next will be essential. In September 2023, I published AI’s $200B Question. The goal of the piece was...
