​[[{“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

​[[{“value”:” LG AI Research has recently announced the release of EXAONE 3.0. This latest third version in the series upgrades EXAONE’s already impressive capabilities. The release as an open-source large language model is unique to the current version with great results and 7.8B parameters. With… Read More »EXAONE 3.0 Released: A 7.8B Open-Sourced State of the Art Language Model from LG AI Research Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) are advancing rapidly resulting in more complex architecture. The high cost of LLMs has been a major barrier to their widespread adoption in various industries. Businesses and developers have been hesitant to invest in these models due to the substantial… Read More »DeepSeek API Introduces Context Caching on Disk: Reducing Input Token Price to 1/10 Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Visual representation learning using large models and self-supervised techniques has shown remarkable success in various visual tasks. However, deploying these models in real-world applications is challenging due to multiple resource constraints such as computation, storage, and power consumption. Adapting large pre-trained models for different… Read More »POA: A Novel Self-Supervised Learning Paradigm for Efficient Multi-Scale Model Pre-Training Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recent advances in segmentation foundation models like the Segment Anything Model (SAM) have shown impressive performance on natural images and videos. Still, their application to medical data remains to be determined. SAM, trained on a vast dataset of natural images, struggles with medical images… Read More »Comparative Evaluation of SAM2 and SAM1 for 2D and 3D Medical Image Segmentation: Performance Insights and Transfer Learning Potential Sana Hassan Artificial Intelligence Category – MarkTechPost