AI Researchers Improve LLM-Based Reasoning by Mimicking Learning From Mistakes
Researchers from Microsoft, Peking University, and Xi’an Jiaotong University claim to have developed a technique to improve large language models (LLMs) ability to solve math problems by replicating how humans learn from their own mistakes.
OpenAI Launches GPTs to Enable Creating No-Code, Custom Versions of ChatGPT
At the recent OpenAI developer conference, OpenAI announced it is rolling out GPTs, custom versions of ChatGPT created for specific tasks. Developers will also be able to share their GPTs on the forthcoming ChatGPT Store and monetize them, the company says.
Google Announces New DeepMind Model, Lyria, to Generate High-Quality Music
Google has introduced Google DeepMind’s Lyria, an AI music generation model able to generate vocals, lyrics, and background tracks mimicking the style of popular artists. The model is experimentally available on YouTube through two distinct AI experiments.
Apple Open-sources Apple Silicon-Optimized Machine Learning Framework MLX
Apple’s MLX combines familiar APIs, composable function transformations, and lazy computation to create a machine learning framework inspired by NumPy and PyTorch that is optimized for Apple Silicon. Implemented in Python and C++, the framework aims to provide a user-friendly and efficient solution to train and deploy machine learning models on Apple Silicon.