​[[{“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

​[[{“value”:” As LLMs have become increasingly capable of performing various tasks through few-shot learning and instruction following, their inconsistent output formats have hindered their reliability and usability in industrial contexts. This inconsistency complicates the extraction and evaluation of generated content, particularly when structured generation methods,… Read More »Balancing Act: The Impact of Format Restrictions on Reasoning in Large Language Models Shreya Maji Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Natural Language Processing (NLP), despite its progress, faces the persistent challenge of hallucination, where models generate incorrect or nonsensical information. Researchers have introduced Retrieval-Augmented Generation (RAG) systems to mitigate this issue by incorporating external information retrieval to enhance the accuracy of generated responses. The… Read More »RAGEval: An AI Framework for Automatically Generating Evaluation Datasets to Evaluate the Knowledge Usage Ability of Different LLMs in Different Scenarios Nikhil Artificial Intelligence Category – MarkTechPost