Multi-Agent Debate#| microsoft.github.io
Tl;dr: We train a small LLM to become good at reasoning with reinforcement learning (similar to the process that led to Deepseek R1) all against AIStor AIHub, an on-premises model repository. Based on the great GRPO demo by will brown. Motivation: A growing requirement for teams is the need| MinIO Blog
We’re on a journey to advance and democratize artificial intelligence through open source and open science.| huggingface.co
Research highlights and perspectives on machine learning and optimization from MadryLab.| gradient science
Quantized LLMs achieve near-full accuracy with minimal trade-offs after 500K+ evaluations, providing efficient, high-performance solutions for AI model deployment.| Neural Magic - Software-Delivered AI
In this tutorial and notebook, you’ll learn how to create an effective synthetic dataset with only 10 examples and fine-tune a SLM that outperforms GPT-4o. We’ll explore different techniques including chain-of-thought reasoning and mixture of agents (MoA).| predibase.com
GSM8K is a dataset of 8.5K high quality linguistically diverse grade school math word problems created by human problem writers. The dataset is segmented into 7.5K training problems and 1K test problems. These problems take between 2 and 8 steps to solve, and solutions primarily involve performing a sequence of elementary calculations using basic arithmetic operations (+ − ×÷) to reach the final answer. A bright middle school student should be able to solve every problem. It can be used f...| paperswithcode.com