​[[{“value”:”  Large language models (LLMs) sometimes learn the things that we don’t want them to learn and understand knowledge. It’s important to find ways to remove or adjust this knowledge to keep AI accurate, precise, and in control.  However, editing or “unlearning” specific knowledge in… Read More »Mechanistic Unlearning: A New AI Method that Uses Mechanistic Interpretability to Localize and Edit Specific Model Components Associated with Factual Recall Mechanisms Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Games can be thought of as either finite or infinite. Finite games are structured around achieving a specific outcome, with set rules, boundaries, and a clear endpoint. In contrast, infinite games focus on continuing play indefinitely, adapting regulations and boundaries. Most traditional video games… Read More »Google Researchers Introduce UNBOUNDED: An Interactive Generative Infinite Game based on Generative AI Models Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have emerged as crucial tools for handling intricate information-seeking queries due to techniques that improve both retrieval and response generation. Retrieval-augmented generation (RAG) is a well-known framework in this area that has drawn a lot of interest since it can… Read More »MIRAGE-Bench: An Automatic Multilingual Benchmark for Retrieval-Augmented Generation Systems Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Vision Language Models (VLMs) have demonstrated remarkable capabilities in generating human-like text in response to images, with notable examples including GPT-4, Gemini, PaLiGemma, LLaVA, and Llama 3 Vision models. However, these models frequently generate hallucinated content that lacks proper grounding in the reference images,… Read More »Meta AI Researchers Introduce Token-Level Detective Reward Model (TLDR) to Provide Fine-Grained Annotations for Large Vision Language Models Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have shown remarkable potential in solving complex real-world problems, from function calls to embodied planning and code generation. A critical capability for LLM agents is decomposing complex problems into executable subtasks through workflows, which serve as intermediate states to improve… Read More »WorFBench: A Benchmark for Evaluating Complex Workflow Generation in Large Language Model Agents Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the evolving landscape of artificial intelligence, one of the most persistent challenges has been bridging the gap between machines and human-like interaction. Modern AI models excel in text generation, image understanding, and even creating visual content, but speech—the primary medium of human communication—presents… Read More »Zhipu AI Releases GLM-4-Voice: A New Open-Source End-to-End Speech Large Language Model Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In recent years, AI-driven workflows and automation have advanced remarkably. Yet, building complex, scalable, and efficient agentic workflows remains a significant challenge. The complexities of controlling agents, managing their states, and integrating them seamlessly with broader applications are far from straightforward. Developers need tools… Read More »IBM Developers Release Bee Agent Framework: An Open-Source AI Framework for Building, Deploying, and Serving Powerful Agentic Workflows at Scale Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” AI agents have become essential tools for navigating web environments and performing online shopping, project management, and content browsing. Typically, these agents simulate human actions, such as clicks and scrolls, on websites primarily designed for visual, human interaction. Although practical, this method of web… Read More »CMU Researchers Propose API-Based Web Agents: A Novel AI Approach to Web Agents by Enabling them to Use APIs in Addition to Traditional Web-Browsing Techniques Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have potential applications in education, healthcare, mental health support, and other domains. However, their accuracy and consistency in following user instructions determine how valuable they are. Even small departures from directions might have serious repercussions in high-stakes situations, such as… Read More »Can LLMs Follow Instructions Reliably? A Look at Uncertainty Estimation Challenges Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Federated Learning is a distributed method of Machine Learning that puts user privacy first by storing data locally and never centralizing it on a server. Numerous applications have successfully used this technique, especially those requiring sensitive data like healthcare and banking. Each training round… Read More »FedPart: A New AI Technique for Enhancing Federated Learning Efficiency through Partial Network Updates and Layer Selection Strategies Tanya Malhotra Artificial Intelligence Category – MarkTechPost