​[[{“value”:” Small and large language models represent two approaches to natural language processing (NLP) and have distinct advantages and challenges. Understanding and analyzing the differences between these models is essential for anyone working in AI and machine learning. Small Language Models: Precision and Efficiency Small… Read More »Small and Large Language Models: Balancing Precision, Efficiency, and Power in the Evolving Landscape of Natural Language Processing Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Generative Large Language Models (LLMs) have become an essential part of many applications due to their quick growth and widespread use. LLM inference clusters manage a massive stream of queries, each with strict Service Level Objectives (SLOs) that must be fulfilled to guarantee adequate… Read More »DynamoLLM: An Energy-Management Framework for Sustainable Artificial Intelligence Performance and Optimized Energy Efficiency in Large Language Model (LLM) Inference Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Migel Tissera has recently unveiled two groundbreaking projects on Hugging Face: Trinity-2-Codestral-22B and Tess-3-Mistral-Large-2-123B. These projects represent a leap forward in advanced computational systems and AI-driven technologies. The release of Trinity-2-Codestral-22B addresses the growing need for more efficient and scalable computational power in an… Read More »Trinity-2-Codestral-22B and Tess-3-Mistral-Large-2-123B Released: Pioneering Open Source Advances in Computational Power and AI Integration Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Abacus.AI, a prominent player in AI, has recently unveiled its latest innovation: LiveBench AI. This new tool is designed to enhance the development and deployment of AI models by providing real-time feedback and performance metrics. The introduction of LiveBench AI aims to bridge the… Read More »Abacus AI Introduces LiveBench AI: A Super Strong LLM Benchmark that Tests all the LLMs on Reasoning, Math, Coding and more Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LMMs) are developing significantly and proving to be capable of handling more complicated jobs that call for a blend of different integrated skills. Among these jobs include GUI navigation, converting images to code, and comprehending films. A number of benchmarks, including… Read More »MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models (LMMs) for Integrated Capabilities Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Machine learning models integrating text and images have become pivotal in advancing capabilities across various applications. These multimodal models are designed to process and understand combined textual and visual data, which enhances tasks such as answering questions about images, generating descriptions, or creating content… Read More »Idefics3-8B-Llama3 Released: An Open Multimodal Model that Accepts Arbitrary Sequences of Image and Text Inputs and Produces Text Outputs Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” This post is co-written by Kevin Plexico and Shakun Vohra from Deltek. Question and answering (Q&A) using documents is a commonly used application in various use cases like customer support chatbots, legal research assistants, and healthcare advisors. Retrieval Augmented Generation (RAG) has emerged as… Read More »How Deltek uses Amazon Bedrock for question and answering on government solicitation documents Kevin Plexico AWS Machine Learning Blog

​[[{“value”:” Multimodal models are designed to make human-computer interaction more intuitive and natural, enabling machines to understand and respond to human inputs in ways that closely mirror human communication. This progress is crucial for advancing applications across various industries, including healthcare, education, and entertainment. One… Read More »This AI Paper from OpenAI Introduces the GPT-4o System Card: A Framework for Safe and Responsible AI Development Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large-scale multimodal foundation models have achieved notable success in understanding complex visual patterns and natural language, generating interest in their application to medical vision-language tasks. Progress has been made by creating medical datasets with image-text pairs and fine-tuning general domain models on these datasets.… Read More »MedTrinity-25M: A Comprehensive Multimodal Medical Dataset with Advanced Annotations and Its Impact on Vision-Language Model Performance Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The ability to convert natural language questions into structured query language (SQL), known as text-to-SQL, helps non-experts easily interact with databases using natural language. This makes data access and analysis more accessible to everyone. Recent studies have highlighted significant achievements in powerful closed-source large… Read More »SENSE: Bridging the Gap Between Open-Source and Closed-Source LLMs for Advanced Text-to-SQL Parsing Sajjad Ansari Artificial Intelligence Category – MarkTechPost