​ Given the potential for increased efficiency and broader accessibility, autonomous agents that can do ordinary tasks via human natural language instructions could considerably complement human skills. To fully use the potential of these independent agents, it is essential to comprehend their behavior in a… Read More »CMU Researchers Introduce WebArena: A Realistic and Reproducible Web Environment with 4+ Real-World Web Apps for Benchmarking Useful Agents Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ In recent years, language models have become one of the fastest-growing fields in Artificial Intelligence. These models, which have been developed to process and produce natural language text, are driving some of the most innovative and ground-breaking AI applications and are at the forefront… Read More »Meet REPLUG: a Retrieval-Augmented Language Modeling LM Framework that Combines a Frozen Language Model with A Frozen/Tunable Retriever Improving the Performance of GPT-3 (175B) on Language Modeling by 6.3% Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ How to iterate a string in Python using For loop? You can iterate over each character of a string using multiple ways of Python. The string is a basic datatype of Python that contains a collection of characters within a single or double quotes.… Read More »How to Iterate a String in Python using For Loop Vijetha Spark By {Examples}

​ AI is improving ways to power the world by tapping the sun and the wind, along with cutting-edge technologies. The latest episode in the I AM AI video series showcases how artificial intelligence can help optimize solar and wind farms, simulate climate and weather,… Read More »How AI Is Powering the Future of Clean Energy Marc Spieler – Archives Page 1 | NVIDIA Blog

​ In a groundbreaking collaboration, FedML and Theta Network have joined forces to launch a decentralized AI supercluster designed to transform the landscape of generative AI and content recommendation. The partnership aims to revolutionize personalized content delivery for Theta.tv viewers by harnessing the power of… Read More »FedML & Theta Unveil Decentralized AI Supercluster: Powering Generative AI and Content Recommendation Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Large Language Models are the new trend, thanks to the introduction of the well-known ChatGPT. Developed by OpenAI, this chatbot does everything from answering questions precisely, summarizing long paragraphs of textual data, completing code snippets, translating the text into different languages, and so on.… Read More »Researchers From Meta AI And the University Of Cambridge Examine How Large Language Models (LLMs) Can Be Prompted With Speech Recognition Abilities Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Deep learning has significantly advanced medical artificial intelligence. Still, it poses the challenge of requiring large amounts of annotated data for training, which can be laborious and prone to human biases, especially in image segmentation tasks. Researchers at Monash University recognized the limited availability… Read More »Meet Co-BioNet: Monash University’s Adversarial AI System Revolutionizing Medical Image Analysis, Enhancing Accuracy Without Extensive Human Annotations Madhur Garg Artificial Intelligence Category – MarkTechPost

​ How to remove the None values from a list in Python? You can use various ways of Python to remove None values from a given list. None is a special keyword in Python used to represent the absence of a value or the concept… Read More »Python Remove None From List Malli Spark By {Examples}

​ A groundbreaking effort by researchers has unveiled a new era in machine learning through their development of Shared Knowledge Lifelong Learning (SKILL). In a recently published paper in Transactions on Machine Learning Research, the researchers have demonstrated how this innovative approach enables AI agents… Read More »USC Researchers Propose a New Shared Knowledge Lifelong Learning (SKILL) Challenge which Deploys a Decentralized Population of LL Agents that Each Sequentially Learn Different Tasks with all Agents Operating Independently and in Parallel Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Researchers at Tel Aviv University propose tuning free dynamic SGD step size formula, called Distance over Gradients (DoG), which only depends upon the empirical quantities with no learning rate parameter. They theoretically show that a slight variation in the DoG formula would lead to… Read More »Tired of Tuning Learning Rates? Meet DoG: A Simple Parameter-Free Optimizer Backed by Solid Theoretical Guarantees Mohammad Arshad Artificial Intelligence Category – MarkTechPost