​[[{“value”:” Software vulnerability detection has seen substantial advancements in integrating deep learning models, which have shown high accuracy in identifying potential vulnerabilities within software. These models analyze code to detect patterns and anomalies that indicate weaknesses. However, despite their effectiveness, these models are not immune… Read More »EaTVul: Demonstrating Over 83% Success Rate in Evasion Attacks on Deep Learning-Based Software Vulnerability Detection Systems Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have revolutionized natural language processing, demonstrating exceptional performance across various tasks. The Scaling Law suggests that as model size increases, LLMs develop emergent abilities, enhancing their context understanding and long sequence handling capabilities. This growth enables LLMs to generate coherent… Read More »Salesforce AI Introduces ‘ThinK’: A New AI Method that Exploits Substantial Redundancy Across the Channel Dimension of the KV Cache Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The prospects and scope for automation in digital lives are expanding with the advances in instruction following, coding, and tool-use abilities of large language models (LLMs). Most day-to-day digital tasks involve complex activities across various applications, with reasoning and decision-making based on intermediate results.… Read More »AppWorld: An AI Framework for Consistent Execution Environment and Benchmark for Interactive Coding for API-Based Tasks Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​The rapid evolution of Large Language Models (LLMs) and conversational assistants necessitates dynamic, scalable, and configurable conversational datasets for training and evaluation. These datasets must accommodate diverse user interaction modes, including text and voice, each presenting unique modeling challenges. Knowledge Graphs (KGs), with their structured… Read More »ConvKGYarn: Spinning Configurable and Scalable Conversational Knowledge Graph QA Datasets with Large Language Models Apple Machine Learning Research

​[[{“value”:” Arcee AI has announced the release of DistillKit, an innovative open-source tool designed to revolutionize the creation and distribution of Small Language Models (SLMs). This release aligns with Arcee AI‘s ongoing mission to make AI more accessible and efficient for researchers, users, and businesses… Read More »Arcee AI Released DistillKit: An Open Source, Easy-to-Use Tool Transforming Model Distillation for Creating Efficient, High-Performance Small Language Models Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Underwriting is a fundamental function within the insurance industry, serving as the foundation for risk assessment and management. Underwriters are responsible for evaluating insurance applications, determining the level of risk associated with each applicant, and making decisions on whether to accept or reject the… Read More »Streamline insurance underwriting with generative AI using Amazon Bedrock – Part 1 Paul Min AWS Machine Learning Blog

​[[{“value”:” Patronus AI released the LYNX v1.1 series, representing a significant step forward in artificial intelligence, particularly in detecting hallucinations in AI-generated content. Hallucinations, in the context of AI, refer to the generation of information that is unsupported or contradictory to the provided data, which… Read More »Patronus AI Releases Lynx v1.1: An 8B State-of-the-Art RAG Hallucination Detection Model Shreya Maji Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API. Amazon Bedrock also provides a broad… Read More »Import a fine-tuned Meta Llama 3 model for SQL query generation on Amazon Bedrock Evandro Franco AWS Machine Learning Blog

​[[{“value”:” Information seeking and integration are critical processes that underpin analysis and decision-making across various fields. These processes demand significant time and effort, especially when dealing with complex queries that require thorough and precise information retrieval. Traditional search engines have reshaped how to seek information… Read More »MindSearch: A Multi-Agent AI Framework Processing 300+ Web Pages in Under 3 Minutes to Enhance Information Retrieval and Integration Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” One of the significant challenges in AI research is the computational inefficiency in processing visual tokens in Vision Transformer (ViT) and Video Vision Transformer (ViViT) models. These models process all tokens with equal emphasis, overlooking the inherent redundancy in visual data, which results in… Read More »Google DeepMind Presents MoNE: A Novel Computer Vision Framework for the Adaptive Processing of Visual Tokens by Dynamically Allocating Computational Resources to Different Tokens Aswin Ak Artificial Intelligence Category – MarkTechPost