Fireworks AI on August 31, 2026 announced the general availability of its Training API and Fireworks Lab, opening its managed training and rollout infrastructure to ML teams that want to run custom training loops on open models. The Training API connects a customer's own Python training loop to Fireworks-managed distributed compute, covering both the trainer that computes gradients and updates the model and the rollout deployment that generates samples from it. Under the arrangement described… [...]
Baseten, the AI infrastructure company recently valued at $2.15 billion, is making its most significant product pivot yet: a full-scale push into model training that could reshape how enterprises wean [...]
Elon Musk's frontier generative AI startup xAI formally opened developer access to its Grok 4.1 Fast models last night and introduced a new Agent Tools API—but the technical milestones were imm [...]
Mistral AI on Monday launched Forge, an enterprise model training platform that allows organizations to build, customize, and continuously improve AI models using their own proprietary data — a move [...]
DeepSeek is expanding beyond the model layer and deeper into the software developers use to put AI agents to work.The Chinese AI lab on Thursday launched the official version of DeepSeek-V4-Pro, an up [...]
DeepSeek continues to push the frontier of generative AI...in this case, in terms of affordability.The company has unveiled its latest experimental large language model (LLM), DeepSeek-V3.2-Exp, that [...]
Meta today released Muse Code, a terminal-based AI coding agent now in beta, alongside Muse Spark 1.2, a coding-focused update to its Muse Spark family of frontier models — a one-two punch that puts [...]
While many enterprises have already begun integrating AI-generated images, visuals, graphics and videos into their production workflows — there is also a growing pool of data and subjective commenta [...]
Meta today released Muse Glimmer, a 30-billion-parameter open-weight model designed to run autonomous AI agents directly on consumer hardware — pushing agentic workloads that normally depend on clou [...]