This Paper Addresses the Generalization Challenge by Proposing Neural Operators for Modeling Constitutive Laws

Most LLMs, like ChatGPT, are aligned using reinforcement learning from human feedback (RLHF). Superhuman models may exhibit behavior beyond human comprehension, making alignment challenging. OpenAI researchers proposed weaker models supervising stronger ones, achieving promising results in…

Researchers from Brigham and Women’s Hospital, Harvard Medical School, and Mass General Brigham Personalized Medicine conducted a study to assess the potential of an AI model, GPT-4V with RAG, in processing medical records to identify clinical…

Challenges in Using Open Datasets for AI Training Large language models (LLMs) need open datasets for training, but this comes with serious legal, technical, and ethical issues. The use of data can be complicated due to…

Understanding Feature Representation in Deep Learning Practical Solutions and Value Machine learning research focuses on learning representations for effective task performance. Understanding the relationship between representation and computation is crucial for practical applications. Deep networks with…

The quest to enhance human-computer interaction has led to significant strides in automating tasks. OmniACT, a groundbreaking dataset and benchmark, integrates visual and textual data to generate precise action scripts for a wide range of functions.…

Recent research showcases the success of Large Language Models (LLMs) in diverse software engineering tasks, including code completion, task-specific fine-tuning, and adhering to human instructions. Monash University and ServiceNow Research introduce ASTRAIOS, a collection of 28…

Evaluating Generative AI Systems Made Simple Evaluating generative AI systems is often complicated and resource-heavy. As generative models quickly develop, organizations face challenges when trying to systematically assess various models, like Large Language Models (LLMs) and…

Data and machine learning professionals are wrapping up the year by enhancing skills and preparing for career progression. November’s popular reads in Towards Data Science (TDS) included guides on knowledge graphs, hardware benchmarks, job search tips,…

Generative AI models have the potential to revolutionize enterprise operations, but businesses must address challenges like data protection and content quality. The Retrieval-Augmented Generation (RAG) framework combines external data sources with prompts to enhance domain-specific tasks.…

Concerns of AI Monopolization The control of AI by a few large companies raises serious issues, including: Concentration of Power: A few companies hold too much influence. Data Monopoly: Limited access to data restricts innovation. Lack…

Large language models (LLMs) like Llama 2 have gained popularity among developers, scientists, and executives. Llama 2, recently released by Meta, can be fine-tuned on AWS Trainium to reduce training time and cost. The model uses…

Understanding Controllable Safety Alignment (CoSA) Why Safety in AI Matters As large language models (LLMs) improve, ensuring their safety is crucial. Providers typically set rules for these models to follow, aiming for consistency. However, this “one-size-fits-all”…

Growing Need for Efficient AI Models There is an increasing demand for AI models that provide a good balance of accuracy, efficiency, and versatility. Many existing models face challenges in meeting these needs, especially in both…

Researchers have discovered new techniques for coaxing AI models into performing actions they are programmed to avoid. The study introduces “persona modulation,” a method where one AI model designs prompts to manipulate another model. By assuming…

Understanding the Challenges of Language in AI Processing human language has been a tough challenge for AI. Early systems struggled with tasks like translation, text generation, and question answering. They followed rigid rules and basic statistics,…

The article on Towards Data Science explains how leveling up your game agent can help you win more challenging games.