The EU AI Act requires enterprises deploying on-premises AI systems to compile an evidence pack before production, documenting system identity, risk classification, data sources, model details, and hu…
A developer's analysis of LLM fine-tuning versus retrieval-augmented generation (RAG) finds that roughly 70% of production LLM problems are solved by better prompting or RAG, with fine-tuning reserved…
Amazon Web Services announced a new method for improving AI agent tool-calling accuracy using Supervised Fine-Tuning (SFT) and Direct Preference Optimization (DPO) on Amazon SageMaker AI. The approach…
Liquid AI's LFM2 model can be fine-tuned using QLoRA and DPO in a complete open-source workflow on Google Colab. The process loads the base LFM2 checkpoint with 4-bit quantization, trains a lightweigh…
FeynRL, an algorithm-first framework for post-training and fine-tuning large models, has been released as an open-source tool supporting supervised fine-tuning, preference learning, and reinforcement …