Large language models are typically refined after pretraining using either supervised fine-tuning (SFT) or reinforcement fine-tuning (RFT), each with distinct...

Particle-based simulations and point-cloud applications are driving a massive expansion in the size and complexity of scientific and commercial datasets,...

A new benchmark from Salesforce research evaluates model and agentic performance on real-life enterprise tasks.Read More

Details are scarce on how much if any money is involved. And what does it mean for Midjourney’s previously announced...

LLMs have rapidly advanced with soaring parameter counts, widespread use of mixture-of-experts (MoE) designs, and massive context lengths. Models like...

Retrieval-Augmented Generation (RAG) has emerged as a cornerstone technique for enhancing Large Language Models (LLMs) with real-time, domain-specific knowledge. But...

The open source framework provides the data and training recipe for building powerful computer-use agents that challenge proprietary systems.Read More