A practical guide details how to fine-tune agentic AI systems across four "dials" — training data, parameter-efficient fine-tuning, runtime hyperparameters, and preference alignment — using a support-…
A developer detailed common pitfalls in scaling Retrieval-Augmented Generation (RAG) systems, including retrieval latency, data management, and data quality, and offered solutions such as using FAISS …
Mastra AI argues that model routers require rigorous testing beyond simple model selection, introducing scorers, datasets, and experiments to validate routing decisions across quality, cost, speed, an…
Hugging Face automated its weekly huggingface_hub releases using a GitHub Actions workflow with open-source tools and open-weights AI models, keeping a human in the loop for release notes and announce…