​[[{“value”:” Global-MMLU by researchers from Cohere For AI, EPFL, Hugging Face, Mila, McGill University & Canada CIFAR AI Chair, AI Singapore, National University of Singapore, Cohere, MIT, KAIST, Instituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, MIT, MIT-IBM Watson AI Lab, Carnegie Mellon University,… Read More »Global-MMLU: A World-class Benchmark Redefining Multilingual AI by Bridging Cultural and Linguistic Gaps for Equitable Evaluation Across 42 Languages and Diverse Contexts Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Integration of AI into clinical practices is very challenging, especially in radiology. While AI has proven to enhance the accuracy of diagnosis, its “black-box” nature often erodes clinicians’ confidence and acceptance. Current clinical decision support systems (CDSSs) are either not explainable or use methods… Read More »This AI Paper from UCLA Unveils ‘2-Factor Retrieval’ for Revolutionizing Human-AI Decision-Making in Radiology Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” LLMs are driving major advances in research and development today. A significant shift has been observed in research objectives and methodologies toward an LLM-centric approach. However, they are associated with high expenses, making LLMs for large-scale utilization inaccessible to many. It is, therefore, a… Read More »CPU-GPU I/O-Aware LLM Inference Reduces Latency in GPUs by Optimizing CPU-GPU Interactions Adeeba Alam Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The rapid adoption of Large Language Models (LLMs) in various industries calls for a robust framework to ensure their secure, ethical, and reliable deployment. Let’s look at 20 essential guardrails designed to uphold security, privacy, relevance, quality, and functionality in LLM applications. Security and… Read More »Top 20 Guardrails to Secure LLM Applications Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The rapid advancement of AI technologies highlights the critical need for Large Language Models (LLMs) that can perform effectively across diverse linguistic and cultural contexts. A key challenge is the lack of evaluation benchmarks for non-English languages, which limits the potential of LLMs in… Read More »Cohere AI Introduces INCLUDE: A Comprehensive Multilingual Language Understanding Benchmark Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” AI4Bharat and Hugging Face have unveiled the Indic-Parler Text-to-Speech (TTS) system, an initiative designed to advance linguistic inclusivity in AI. This development is an effort to bridge the digital divide in a linguistically diverse country like India. Indic Parler-TTS represents a synthesis of cutting-edge… Read More »AI4Bharat and Hugging Face Released Indic Parler-TTS: A Multimodal Text-to-Speech Technology for Multilingual Inclusivity and Bridging India’s Linguistic Digital Divide Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Visual language models (VLMs) have come a long way in integrating visual and textual data. Yet, they come with significant challenges. Many of today’s VLMs demand substantial resources for training, fine-tuning, and deployment. For instance, training a 7-billion-parameter model can take over 400 GPU… Read More »NVIDIA AI Introduces NVILA: A Family of Open Visual Language Models VLMs Designed to Optimize both Efficiency and Accuracy Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” LMMs have made significant strides in vision-language understanding but still need help reasoning over large-scale image collections, limiting their real-world applications like visual search and querying extensive datasets such as personal photo libraries. Existing benchmarks for multi-image question-answering are constrained, typically involving up to… Read More »Advancing Large Multimodal Models: DocHaystack, InfoHaystack, and the Vision-Centric Retrieval-Augmented Generation Framework Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Protein design is crucial in biotechnology and pharmaceutical sciences. Google DeepMind, with its patent, WO2024240774A1, unveils a cutting-edge system that harnesses diffusion models operating on full atom representations. This innovative framework redefines the approach to protein design, achieving unprecedented precision and efficiency. DeepMind’s system… Read More »Google DeepMind’s Patent Transforming Protein Design Through Advanced Atomic-Level Precision and AI Integration Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Today, we are excited to announce that Mistral-NeMo-Base-2407 and Mistral-NeMo-Instruct-2407—twelve billion parameter large language models from Mistral AI that excel at text generation—are available for customers through Amazon SageMaker JumpStart. You can try these models with SageMaker JumpStart, a machine learning (ML) hub that provides access to… Read More »Mistral-NeMo-Instruct-2407 and Mistral-NeMo-Base-2407 are now available on SageMaker JumpStart Niithiyn Vijeaswaran AWS Machine Learning Blog