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Blog

32 Results / Page 1 of 4


How an 8B Model Beat an Industry Giant

Jim Griffin November 7, 2024

This video describes how a system called ‘AgentStore’ was able to gain the top spot on a benchmark for AI agents – beating out a gigantic model with a small one. AgentStore is a platform and method for aggregating specialized agents that perform real-world tasks on digital devices on macOS, […]

Will Open-Source Llama Beat GPT-4o?

Jim Griffin August 1, 2024

Last week Meta launched its newest family of models, Llama 3.1, including a new benchmark – an open-source foundation model with 405 billion parameters. With this, Zuckerberg predicted that Meta AI will surpass OpenAI’s 200 million monthly active users by the end of this year. Hubris aside, this video looks […]

Amazing Milestone! Million Experts Model

Jim Griffin July 17, 2024

A top researcher at Google DeepMind just released an important paper, “Mixture of a Million Experts.” As the paper’s title announces, it describes an approach that resulted in the first-known Transformer model with more than a million experts. For context, the number of experts currently seen in smaller models varies […]

Behind the Curtain of Figma AI

Jim Griffin July 12, 2024

The recent announcement of Figma AI generated both excitement and controversy. This video summarizes the new AI features in under three minutes, for this popular design tool that’s used for creating prototypes of digital experiences. Next, the video looks at the underlying technology that was used to enable the new […]

How a Language Model Aced a Top Leaderboard

Jim Griffin July 3, 2024

This video shares details about a remarkable experiment by researchers in Tokyo, who teamed up with Oxford and Cambridge Universities to study whether large language models might now be able to write code that improves their own performance. The answer was Yes. Not only that, the model created a whole […]

New Method Runs Big LLMs on Smartphones

Jim Griffin June 26, 2024

There’s a big breakthrough that just came out for handling large language models on smartphones. It’s called PowerInfer-2 and what it does is look at every option for a processing an LLM on a particular smartphone, and picks the fastest way for that particular LLM on that particular device. For […]