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Latent Diffusion Models are generative models used in machine learning, particularly in probabilistic modeling. These models aim to capture a dataset’s underlying structure or latent variables,…
Large language models (LLMs) demonstrated impressive few-shot learning capabilities, rapidly adapting to new tasks with just a handful of examples.However, despite their advances, LLMs still face…
How LLaMA, MPT, Falcon, and LLaMA-2 put open-source LLMs on the map…16 min read·20 hours ago(Photo by Iñaki del Olmo on Unsplash)Open-source research on large language…
Remote work has surged in popularity, transforming how you approach your daily tasks and where you perform them. This shift means you’re no longer confined to…
How you can improve the “learning” and “training” of neural networks through tuning hyperparametersNeural-network icons created by Vectors Tank — Flaticon. neural-network icons. https://www.flaticon.com/free-icons/neuralIn my previous…
Supervised Fine-tuning (SFT), Reward Modeling (RM), and Proximal Policy Optimization (PPO) are all part of TRL. In this full-stack library, researchers give tools to train transformer…
Robotic surgery has been transformative in the world of medicine. Imagine having a robot assist in surgery with incredible precision and the guidance of a skilled…
In multi-modal language models, a pressing challenge has emerged – the inherent limitations of existing models in grappling with nuanced visual instructions and executing a myriad…
Feature selection is so slow because it requires the creation of many models. Find out how to make it blazingly faster thanks to approximate-predictions[Image by Author]When…
Creating general-purpose assistants that can efficiently carry out various real-world activities by following users’ (multimodal) instructions has long been a goal in artificial intelligence. The area…