Microsoft Phi 3.5 Models

In this video, Sam Witteveen discusses the recent release of Microsoft’s Phi 3.5 models, including the Phi 3.5 Mini, a new Mixture of Experts (MoE) model, and the Phi 3.5 Vision model. He highlights the improvements made to these models compared to their predecessors, particularly in terms of performance and efficiency. The Phi 3.5 Mini is noted for its instruct tuning and multimodal capabilities, showing significant enhancements in handling non-traditional languages such as Arabic and Chinese. Witteveen explains the benchmarks that demonstrate the Phi 3.5 Mini’s ability to perform well against larger proprietary models while maintaining a smaller footprint, making it suitable for local use. The MoE model, which is larger and trained on more tokens, also shows promising results, particularly in open model comparisons. Additionally, the Phi 3.5 Vision model is introduced, which has been fine-tuned for various tasks and shows competitive performance metrics. The video concludes with Witteveen’s personal insights on the usability of these models and their implications for developers looking to leverage LLMs for various applications.