CuPL, also known as Customized Prompts via Language models, is a topic that can be explored further in Towards Data Science.

QML is being utilized to combine machine learning and particle physics in a fun application.

This article discusses the process of fine tuning language models for Named Entity Recognition. It can be found on Towards Data Science.

TRL (Transformer Reinforcement Learning) is a full-stack library that allows researchers to train transformer language models and stable diffusion models with reinforcement learning. It includes tools such as SFT (Supervised Fine-tuning), RM (Reward Modeling), and PPO (Proximal Policy Optimization). TRL improves the efficiency, adaptability, and robustness of transformer language models for tasks like text generation,…

Researchers at the Institute for Assured Autonomy propose advanced AI techniques and simulation environments to ensure safety in the expanding field of unmanned aircraft systems.

According to a new study, integrating AI into the business sector is proving to be lucrative. While business adoption has been slower than predicted, 71% of surveyed companies are implementing AI. AI projects are completed in less than a year, with businesses seeing an average return of $3.50 for every dollar spent on AI. Lack…

Elon Musk’s startup xAI will release its first AI products on November 4th to a select group. Musk claims that in “important respects,” xAI surpasses all existing AI. xAI aims to understand the true nature of the universe and collaborate with X, Tesla, and other entities. Its team includes researchers from companies like DeepMind and…

Microsoft researchers have introduced a novel framework called the “Large Search Model” (LSM) that aims to revolutionize online search engines. By combining multiple components, the LSM utilizes Large Language Models (LLMs) to improve search results. The model can be customized for different search tasks using natural language prompts and can adapt to specific situations. The…

Woodpecker is a new AI framework developed by Chinese researchers to address hallucinations in Multimodal Large Language Models (MLLMs). It offers a training-free alternative to mitigate inaccuracies in text descriptions generated by MLLMs. The framework consists of five stages, emphasizing transparency and interpretability. Woodpecker significantly improves accuracy and performance over baseline models in benchmark evaluations,…

The UK government plans to invest £225 million (or $273 million) to build its most powerful AI supercomputer, Isambard-AI. The supercomputer, named after Isambard Brunel, will be built by The University of Bristol with the help of Hewlett Packard. Isambard-AI will deliver over 200 petaFLOPS of double-precision performance and will be used in fields like…