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Self-Rewarding Language Models by Meta AI
In this post we dive into the Self-Rewarding Language Models paper by Meta AI, which can possibly be a step towards open-source AGI…
Fast Inference of Mixture-of-Experts Language Models with Offloading
Diving into a research paper introducing an innovative method to enhance LLM inference efficiency using memory offloading…
TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones
In this post we dive into TinyGPT-V, a small but mighty Multimodal LLM which brings Phi-2 success to vision-language tasks…
LLM in a flash: Efficient Large Language Model Inference with Limited Memory
In this post we dive into LLM in a flash paper by Apple, that introduces a method to run LLMs on devices that have limited memory…
Introduction to Vision Transformers | Original ViT Paper Explained
In this post we go back to the important vision transformers paper, to understand how ViT adapted transformers to computer vision…
Orca 2: Teaching Small Language Models How to Reason
Dive into Orca 2 research paper, the second version of the successful Orca small language model from Microsoft…
From Diffusion Models to LCM-LoRA
Following LCM-LoRA release, in this post we explore the evolution of diffusion models up to latent consistency models with LoRA…
CODEFUSION: A Pre-trained Diffusion Model for Code Generation
In this post we dive into Microsoft’s CODEFUSION, an approach to use diffusion models for code generation that achieves remarkable results…