​[[{“value”:” Artificial intelligence (AI) planning involves creating a sequence of actions to achieve a specific goal in the development of autonomous systems that perform complex tasks, such as robotics and logistics. Furthermore, large language models (LLMs) have shown great promise in several areas focused on… Read More »AutoToS: An Automated Feedback System for Generating Sound and Complete Search Components in AI Planning Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” At AWS, we are transforming our seller and customer journeys by using generative artificial intelligence (AI) across the sales lifecycle. We envision a future where AI seamlessly integrates into our teams’ workflows, automating repetitive tasks, providing intelligent recommendations, and freeing up time for more… Read More »AWS empowers sales teams using generative AI solution built on Amazon Bedrock Rupa Boddu AWS Machine Learning Blog

​[[{“value”:” Tau is a logical AI engine that enables the creation of software and AI capable of fully mechanized reasoning, allowing software built with Tau to logically reason over formalized information, deduce new knowledge, and automatically implement it within the software, allowing AI to accurately… Read More »Tau’s Logical AI-Language Update – A Glimpse into the Future of AI Reasoning Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs), characterized by their advanced text generation capabilities, have found applications in diverse areas such as education, healthcare, and legal services. LLMs facilitate the creation of coherent and contextually relevant content, allowing professionals to generate structured narratives with compelling arguments. Their… Read More »Xinyu: Transforming Commentary Generation with Advanced LLM Techniques, Achieving Unprecedented Efficiency and Quality in Structured Narrative Creation Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Home Table of Contents llama.cpp: The Ultimate Guide to Efficient LLM Inference and Applications The Evolution of Large Language Models The Challenge with LLMs Enters llama.cpp Understanding llama.cpp Background on Gerganov Contributions Unique Selling Point (USP) of llama.cpp Which Foundational Models Does llama.cpp Currently… Read More »llama.cpp: The Ultimate Guide to Efficient LLM Inference and Applications Hector Martinez PyImageSearch

​[[{“value”:” Data discovery has become increasingly challenging due to the proliferation of easily accessible data analysis tools and low-cost cloud storage. While these advancements have democratized data access, they have also led to less structured data stores and a rapid expansion of derived artifacts in… Read More »Humboldt: A Specification-based System Framework for Generating a Data Discovery UI from Different Metadata Providers Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have gained significant attention in recent times, but with them comes the problem of hallucinations, in which the models generate information that is fictitious, deceptive, or plain wrong. This is especially problematic in vital industries like healthcare, banking, and law,… Read More »Top Artificial Intelligence (AI) Hallucination Detection Tools Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The rapid advancement of AI has led to the development of powerful models for discrete and continuous data modalities, such as text and images, respectively. However, integrating these distinct modalities into a single model remains a significant challenge. Traditional approaches often require separate architectures… Read More »Meta presents Transfusion: A Recipe for Training a Multi-Modal Model Over Discrete and Continuous Data Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Empowering LLMs to handle long contexts effectively is essential for many applications, but conventional transformers require substantial resources for extended context lengths. Long contexts enhance tasks like document summarization and question answering. Yet, several challenges arise: transformers’ quadratic complexity increases training costs, LLMs need… Read More »FocusLLM: A Scalable AI Framework for Efficient Long-Context Processing in Language Models Sana Hassan Artificial Intelligence Category – MarkTechPost