​[[{“value”:” Advances in vision-language models (VLMs) have shown impressive common sense, reasoning, and generalization abilities. This means that developing a fully independent digital AI assistant, that can perform daily computer tasks through natural language is possible. However, better reasoning and common-sense abilities don’t automatically lead… Read More »DigiRL: A Novel Autonomous Reinforcement Learning RL Method to Train Device-Control Agents Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Long-context language models (LCLMs) have emerged as a promising technology with the potential to revolutionize artificial intelligence. These models aim to tackle complex tasks and applications while eliminating the need for intricate pipelines that were previously necessary due to context length limitations. However, the… Read More »LOFT: A Comprehensive AI Benchmark for Evaluating Long-Context Language Models Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the era of vast data, information retrieval is crucial for search engines, recommender systems, and any application that needs to find documents based on their content. The process involves three key challenges: relevance assessment, document ranking, and efficiency. The recently introduced Python library… Read More »BM25S: A Python Package that Implements the BM25 Algorithm for Ranking Documents Based on a Query Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Factory AI has released its latest innovation, Code Droid, a groundbreaking AI tool designed to automate and accelerate software development processes. This release signifies a significant advancement in artificial intelligence and software engineering. Introduction to Code Droid Code Droid is an autonomous system engineered… Read More »Factory AI Introduces ‘Code Droid’ Designed to Automate and Enhance Coding with Advanced Autonomous Capabilities: Achieving 19.27% on SWE-bench Full and 31.67% on SWE-bench Lite Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Ensuring the safety and ethical behavior of large language models (LLMs) in responding to user queries is of paramount importance. Problems arise from the fact that LLMs are designed to generate text based on user input, which can sometimes lead to harmful or offensive… Read More »Orthogonal Paths: Simplifying Jailbreaks in Language Models Shreya Maji Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the rapidly advancing field of artificial intelligence, one of the most intriguing frontiers is the synthesis of audiovisual content. While video generation models have made significant strides, they often fall short by producing silent films. Google DeepMind is set to revolutionize this aspect… Read More »Bringing Silent Videos to Life: The Promise of Google DeepMind’s Video-to-Audio (V2A) Technology Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Neural networks, despite their theoretical capability to fit training sets with as many samples as they have parameters, often fall short in practice due to limitations in training procedures. This gap between theoretical potential and practical performance poses significant challenges for applications requiring precise… Read More »Rethinking Neural Network Efficiency: Beyond Parameter Counting to Practical Data Fitting Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Machine learning has achieved remarkable advancements, particularly in generative models like diffusion models. These models are designed to handle high-dimensional data, including images and audio. Their applications span various domains, such as art creation and medical imaging, showcasing their versatility. The primary focus has… Read More »MaPO: The Memory-Friendly Maestro – A New Standard for Aligning Generative Models with Diverse Preferences Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” LLMs like ChatGPT and Gemini demonstrate impressive reasoning and answering capabilities but often produce “hallucinations,” meaning they generate false or unsupported information. This problem hampers their reliability in critical fields, from law to medicine, where inaccuracies can have severe consequences. Efforts to reduce these… Read More »Enhancing LLM Reliability: Detecting Confabulations with Semantic Entropy Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have revolutionized natural language processing, demonstrating exceptional performance on various benchmarks and finding real-world applications. However, the autoregressive training paradigm underlying these models presents significant challenges. Notably, the sequential nature of autoregressive token generation results in slow processing speeds, limiting… Read More »The Rise of Diffusion-Based Language Models: Comparing SEDD and GPT-2 Mohammad Asjad Artificial Intelligence Category – MarkTechPost