​[[{“value”:” Contrastive language-image pretraining has emerged as a promising approach in artificial intelligence, enabling dual vision and text encoders to align modalities while maintaining dissimilarity between unrelated embeddings. This innovative technique has produced models with remarkable zero-shot transfer capabilities, demonstrating significant potential in complex computational… Read More »Can You Turn Your Vision-Language Model from a Zero-Shot Model to Any-Shot Generalist? Meet LIxP, the Context-Aware Multimodal Framework Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Hugging Face is launching a free and open course on machine learning to make artificial intelligence (AI) more accessible to everyone. The Smöl Course (“Small” Course) guides learners through building, training, and fine-tuning machine learning models. It is based on the SmolLM2 series of… Read More »Hugging Face Releases a Free and Open Course on Fine Tuning Local LLMs Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The advancement of AI and machine learning has introduced new capabilities for businesses across industries. From text generation to video synthesis, modern AI models are transforming how organizations operate and innovate. However, large-scale foundation models like GPT-4 and Llama present challenges in achieving advanced… Read More »Amazon Introduces Amazon Nova: A New Generation of SOTA Foundation Models that Deliver Frontier Intelligence and Industry Leading Price-Performance Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Amazon Q Business is a generative AI-powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. Although generative AI is fueling transformative innovations, enterprises may still experience sharply divided data silos… Read More »Query structured data from Amazon Q Business using Amazon QuickSight integration Jiten Dedhia AWS Machine Learning Blog

​[[{“value”:” Digital experience interruptions can harm customer satisfaction and business performance across industries. Application failures, slow load times, and service unavailability can lead to user frustration, decreased engagement, and revenue loss. The risk and impact of outages increase during peak usage periods, which vary by… Read More »Elevate customer experience by using the Amazon Q Business custom plugin for New Relic AI Meena Menon AWS Machine Learning Blog

​[[{“value”:” Today, Amazon SageMaker is excited to announce updates to the inference optimization toolkit, providing new functionality and enhancements to help you optimize generative AI models even faster. These updates build on the capabilities introduced in the original launch of the inference optimization toolkit (to… Read More »Amazon SageMaker launches the updated inference optimization toolkit for generative AI Marc Karp AWS Machine Learning Blog

​[[{“value”:” This post was written with Zach Marston and Serg Masis from Syngenta. Syngenta and AWS collaborated to develop Cropwise AI, an innovative solution powered by Amazon Bedrock Agents, to accelerate their sales reps’ ability to place Syngenta seed products with growers across North America.… Read More »Syngenta develops a generative AI assistant to support sales representatives using Amazon Bedrock Agents Zach Marston AWS Machine Learning Blog

​[[{“value”:” Supporting the health and well-being of diverse global populations necessitates a nuanced understanding of the complex relationships between human behavior and local environments. This requires identifying vulnerable populations and optimizing resource allocation for maximum impact. Traditional methods often rely on manually curated features and… Read More »Google AI Releases Population Dynamics Foundation Model (PDFM): A Machine Learning Framework Designed to Power Downstream Geospatial Modeling Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Reasoning is critical in problem-solving, allowing humans to make decisions and derive solutions. Two primary types of reasoning are used in problem-solving: forward reasoning and backward reasoning. Forward reasoning involves working from a given question towards a solution, using incremental steps. In contrast, backward… Read More »Google AI and UNC Chapel Hill Researchers Introduce REVTINK: An AI Framework for Integrating Backward Reasoning into Large Language Models for Improved Performance and Efficiency Nikhil Artificial Intelligence Category – MarkTechPost