Llama 3.2 Vision — A Deep Dive
Vision-Language Models (VLMs) allow LLMs to “see”, but how do they work? In this post, we’ll walk through the model changes needed to turn an LLM into a VLM ...
Recent Posts
November Papers: An LLM Feast
This month we’ve got an all-LLM menu of papers for you, with summaries of four great works exploring many different aspects of crafting systems for LLM train...
October Papers: Improving image generation & making LLMs think
This month brought us some exciting developments in improving image-generating models, as well as some interesting insights into how to make large language m...
September Papers: Proper Conditioning
We’re pleased to share four papers from different domains: LLM self-correction, FP8 training, generative crystals and optimisation. They are united, somewhat...
Speeding up LLM inference using SparQ Attention & llama.cpp
With the rapid advances in the capabilities of large language models (LLMs), there is an increasing need for efficient inference platforms that would enable ...