LLM-JEPA: Large Language Models Meet Joint Embedding Predictive Architectures

LLM‑KGFR: Neue Methode für Wissensgraph‑Fragen ohne Feinabstimmung

Regularization Through Reasoning: Systematic Improvements in Language Model Classification via Explanation-Enhanced Fine-Tuning

Researchers find that retraining only small parts of AI models can cut costs and prevent forgetting

Beyond CNNs: Efficient Fine-Tuning of Multi-Modal LLMs for Object Detection on Low-Data Regimes

Litespark Technical Report: High-Throughput, Energy-Efficient LLM Training Framework

Thinking Machines' first official product is here: meet Tinker, an API for distributed LLM fine-tuning