efficient

In this tutorial, we demonstrate how to efficiently fine-tune using a large language model tasteless And QLoRA. We focus on building a stable, end-to-end supervised fine-tuning pipeline that handles common …

Large context windows have dramatically increased how much information modern language models can process in a single prompt. With models capable of handling hundreds of thousands or even millions of …

Serving large language models (LLMs) at scale is a major engineering challenge due to key-value (KV) cache management. As models grow in size and logic capacity, the KV cache footprint …

Image by editor # critical pipeline The gravitational pull of the state-of-the-art in modern machine learning is immense. Research teams and engineering departments alike focus on model architectures, from tweaks …

In this tutorial, we implement an agentic chain-of-thought pruning framework that generates multiple logic paths in parallel and dynamically prunes them using consensus signals and early stopping. We focus on …

NVIDIA has released Nemotron-Nano-3-30B-A3B-NVFP4A production checkpoint that runs a 30b parameter reasoning model 4 bit nvfp4 Format keeping the accuracy close to your BF16 baseline. The model combines a hybrid …

glm-4.7-flash is a new member of the GLM 4.7 family and targets developers who want robust coding and reasoning performance in practical models to run locally. Zhipu AI (Z.AI) describes …

Gina AI has been released GINA-VLM, a 2.4B parameter vision language model Which targets multilingual visual question answering and document understanding on limited hardware. The model combines a SigLIP2 vision …

In this tutorial, we build an advanced meta-cognitive control agent that learns how to control the depth of its thinking. We treat reasoning as a spectrum, ranging from fast guesses …