​[[{“value”:” Natural language processing has greatly improved language model finetuning. This process involves refining AI models to perform specific tasks more effectively by training them on extensive datasets. However, creating these large, diverse datasets is complex and expensive, often requiring substantial human input. This challenge… Read More »Researchers from the University of Maryland Introduce GenQA Instruction Dataset: Automating Large-Scale Instruction Dataset Generation for AI Model Finetuning and Diversity Enhancement Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” A significant challenge in the field of Information Retrieval (IR) using Large Language Models (LLMs) is the heavy reliance on human-crafted prompts for zero-shot relevance ranking. This dependence requires extensive human effort and expertise, making the process time-consuming and subjective. Additionally, the complexities involved… Read More »APEER: A Novel Automatic Prompt Engineering Algorithm for Passage Relevance Ranking Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Materials science focuses on studying and developing materials with specific properties and applications. Researchers in this field aim to understand the structure, properties, and performance of materials to innovate and improve existing technologies and create new materials for various applications. This discipline combines chemistry,… Read More »Cephalo: A Series of Open-Source Multimodal Vision Large Language Models (V-LLMs) Specifically in the Context of Bio-Inspired Design Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“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