/AI Weekly/Issue 67
Apple Intelligence is coming & Microsoft's Phi 3.5
Published Tuesday, August 27, 2024
Apple is about to launch a ChatGPT-powered version of Siri as part of a suite of AI features in iOS 18. Will this change the way you use your phone – and how does it affect your privacy?
Building on a landmark algorithm, researchers propose a way to make a smaller and more noise-tolerant quantum factoring circuit for cryptography.
As foundational models get bigger it becomes harder to train them. We simply don't have enough compute power to train models in a reasonable time and budget. To fix this, people have turned to mixture of experts models. But how do they work? This paper explains one approach to use mixture of experts. It's advanced, but cool to see how much power you can push out of a deep learning model!
In this video I look at yesterday's releases of Phi 3.5 models which include the mini, a new Mixture of Experts model as well as the new 3.5 Vision model.
At this critical juncture in AI development, we face a scarcity of novel, high-quality data for training and fine-tuning large language models (LLMs). This shortage poses significant challenges for organizations aiming to enhance model performance or adapt them to specialized domains. In this hour-long livestream, Yev Meyer, Ph.D., Chief Scientist at Gretel, will showcase the company's innovative solution to this bottleneck.
Designed for interactive storytelling in games, GENEVA lets users explore narrative paths and adapt stories to diverse contexts. It uses LLMs to generate and visualize branching narratives from high-level descriptions, representing them as graphs.
A deep dive into why RAG doesn’t always work as expected: an overview of the business value, the data, and the technology behind it.
Continue working with the Polars library while being able to color and style the table.
The AI links worth your time, curated by the community and always free.
