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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…
Table-GPT: Empower LLMs To Understand Tables
In this post we dive into Table-GPT, a novel research by Microsoft, that empowers LLMs to understand tabular data…
Vision Transformers Need Registers – Fixing a Bug in DINOv2?
In this post we explain the paper “Vision Transformers Need Registers” by Meta AI, that explains an interesting behavior in DINOv2 features…
Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack
In this post we dive into Emu, a text-to-image generation model by Meta AI, which is quality-tuned to generate highly aesthetic images…
NExT-GPT: Any-to-Any Multimodal LLM
In this post we dive into NExT-GPT, a multimodal large language model (MM-LLM), that can both understand and respond with multiple modalities…
Large Language Models As Optimizers – OPRO by Google DeepMind
In this post we dive into the Large Language Models As Optimizers paper by Google DeepMind, which introduces OPRO (Optimization by PROmpting)…
FACET: Fairness in Computer Vision Evaluation Benchmark
In this post we cover FACET, a new dataset created by Meta AI in order to evaluate a benchmark for fairness of computer vision models…