Chats with AI shift attitudes on climate change, Black Lives Matter

Practical Solutions and Value of BOND: A Novel RLHF Method Enhancing Language Generation Quality Reinforcement learning from human feedback (RLHF) is crucial for ensuring quality and safety in language and learning models (LLMs). State-of-the-art LLMs like…

Understanding the Five Levels of Agentic AI Architectures This tutorial presents a structured exploration of five levels of Agentic AI architectures. These vary from basic prompt-response functions to advanced systems capable of fully autonomous code generation…

Researchers have made a breakthrough in data science and AI by combining interpretable machine learning models with large language models. The fusion improves the usability of complex data analysis tools, allowing for better comprehension and interaction…

Brain organoids, lab-grown mini-brains created from human stem cells, have been integrated with computers to achieve speech recognition. This innovative “Brainoware” system, described in a study in Nature Electronics, represents a shift from traditional AI using…

Understanding Retrieval-Augmented Generation (RAG) Retrieval-augmented generation (RAG) is a significant improvement in how large language models (LLMs) perform tasks by using relevant external information. This method combines information retrieval with generative modeling, making it useful for…

Aleph Alpha Researchers Release Pharia-1-LLM-7B: Two Distinct Variants- Pharia-1-LLM-7B-Control and Pharia-1-LLM-7B-Control-Aligned The Pharia-1-LLM-7B model family, including Pharia-1-LLM-7B-Control and Pharia-1-LLM-7B-Control-Aligned, is now available under the Open Aleph License for non-commercial research and education. These models offer practical…

Revolutionizing Hypothesis Testing with AI Recent advancements in econometric modeling and hypothesis testing have led to a significant shift towards integrating machine learning techniques. To address the need for effectively testing these models, researchers from MIT…

Asking questions to your data set has always been interesting.

The article explains how to use the Minimum Covariance Determinant (MCD) method to detect novel news headlines. The MCD method estimates the covariance matrix of a dataset to identify outliers or anomalies. By applying MCD to…

Researchers from the University of Cambridge have developed an algorithm called Foot Optimisation, using Uncertain Normals for Surface Deformation (FOUND), which improves the reconstruction of 3D foot models from pictures. They have also released a large-scale…

Elon Musk’s artificial intelligence startup xAI is set to launch its first AI model this Saturday to a select group. Musk, who previously founded OpenAI, believes that xAI’s new model is superior and plans to make…

In 2023, advancements in NLP saw the emergence of ChatGPT and other Large Language Models, making fine-tuning LLMs easier. The demand for personalized RAGs surged across industries, with a need for tailored solutions. Techniques to enhance…

Artificial intelligence and mathematical reasoning converge in a dynamic intersection, pushing the boundaries of problem-solving capabilities. Large Language Models (LLMs) exhibit promise in bridging linguistic nuances with mathematical logic, showcasing enhanced performance in handling diverse mathematical…

Uncovering Insights into Language Processing with AI and Neuroscience Understanding Brain-Model Similarity Cognitive neuroscience explores how the brain processes complex information, such as language, and compares it to artificial neural networks, especially large language models (LLMs).…

This article discusses the challenges of keeping up with the rapidly evolving field of machine learning. It suggests a balanced and continuous approach to learning and highlights a selection of articles that cover both fundamental and…

Google’s demo video of its new model Gemini was impressive, but it fell short of the marketing hype. The video showcased interactions that were actually based on detailed text prompts and still images, not live demonstrations.…

We are creating a risk evaluation blueprint for large language models (LLMs) aiding in biological threat creation. Initial testing with biology experts and students found that GPT-4 only slightly improves accuracy. While inconclusive, this encourages further…