Explaining the role of logits and the softmax function in converting the output vector into a final probability distribution for the next token.
https://hackernoon.com/autoregressive-vision-llms-a-simplified-mathematical-formulation #visionllms
Autoregressive Vision-LLMs: A Simplified Mathematical Formulation | HackerNoon
Explaining the role of logits and the softmax function in converting the output vector into a final probability distribution for the next token.
This article reviews the development and application of Vision-Large-Language-Models, focusing on their integration into autonomous driving systems.
https://hackernoon.com/the-integration-of-vision-llms-into-ad-systems-capabilities-and-challenges #visionllms
The Integration of Vision-LLMs into AD Systems: Capabilities and Challenges | HackerNoon
This article reviews the development and application of Vision-Large-Language-Models, focusing on their integration into autonomous driving systems.

Qwen-Image: Crafting with Native Text Rendering
Not content with releasing six excellent open weights LLMs in July, Qwen are kicking off August with their first ever image generation model. Qwen-Image is a 20 billion parameter MMDiT …
Simon Willison’s Weblog