Perplexity's post-trained GLM 5.2 preview pairs a cheaper open-source base with a frontier advisor—and it's already live in ...

Open-source tools have made MMM more accessible, but reliable results still depend on clean data, thoughtful modeling, and ...

Open-source world model AlayaWorld, released by China’s Shanda AI Research in July 2026, sustains interactive video ...

When AI-driven detection underperforms, the instinct is to tune the algorithm, retrain the model or push the vendor for a ...

Lexus and top speed are not always mentioned in the same sentence, but this luxury Japanese brand has some potent weapons in its arsenal.

The NemoClaw for LangChain Deep Agents blueprint gives enterprises a reference architecture for building open agent systems ...

Crusoe, a vertically integrated AI infrastructure company, announced Serverless Fine-Tuning and Self-Serve Deployments in Crusoe Intelligence Foundry, the managed AI platform for Crusoe Cloud.

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

Why AI agents stall in production: fine-tuning forgets, RAG leaks context. Hypernetworks generate a task-specific model from your policies at inference time.

In this post, we share the motivations, design choices, experiments, and learnings that informed its development, as well as an evaluation of the model’s performance and guidance on how to use it. Our ...

It costs millions of dollars and months of computing time to train a large language model from the ground up. You most likely never need to do it. Fine-tuning lets you adapt pre-trained language ...