
Adaption has unveiled AutoScientist, a tool designed to automate the fine-tuning of AI models, enhancing their ability to learn specific capabilities quickly. This approach co-optimizes data and models, aiming to simplify and accelerate the training of advanced AI systems. Although conventional benchmarks may not apply, Adaption claims significant improvements in model performance. The tool is available for free for the first 30 days, allowing users to experience its potential benefits in various fields.
Read originalThe latest b9133 release of llama.cpp introduces significant improvements for reasoning models, particularly in server and web UI environments. By removing the blocking assistant prefill and orchestrating thinking tags, the update ensures smoother continuation of generation tasks. This release also drops the reasoning guard on the Continue button, allowing for persistent reasoning content even after reloads. While the update focuses on templates with simple thinking tags, it sets the stage for future enhancements in reasoning model capabilities.
The latest b9142 release of llama.cpp introduces significant updates for OpenCL, particularly enhancing support for Adreno GPUs with the addition of q5_0 and q5_1 Mixture of Experts (MoE) models. This update also addresses potential memory leaks and suppresses warnings for unused variables when building for non-Adreno platforms. These improvements make llama.cpp more robust and versatile, especially for developers working with diverse hardware configurations. The release continues to solidify llama.cpp's position as a flexible inference runtime across multiple operating systems and architectures.