​[[{“value”:” Amazon Bedrock is the best place to build and scale generative AI applications with large language models (LLM) and other foundation models (FMs). It enables customers to leverage a variety of high-performing FMs, such as the Claude family of models by Anthropic, to build… Read More »Unlocking Innovation: AWS and Anthropic push the boundaries of generative AI together Swami Sivasubramanian AWS Machine Learning Blog

​[[{“value”:” Home Table of Contents Google Gemini 1.5 Review: Million-Token AI Changes Everything What Is a Large Language Model (LLM)? What Is Google Gemini? Google Gemini 1.5 Reaction Splashing Cold Water on Gemini 1.5 Gemini Advanced vs. Gemini 1.0 Pro Gemini Advanced vs. Gemini 1.5… Read More »Google Gemini 1.5 Review: Million-Token AI Changes Everything Hector Martinez PyImageSearch

​[[{“value”:” Almost all forms of biological perception are multimodal by design, allowing agents to integrate and synthesize data from several sources. Linking modalities, including vision, language, audio, temperature, and robot behaviors, have been the focus of recent research in artificial multimodal representation learning. Nevertheless, the… Read More »UC Berkeley Researchers Introduce the Touch-Vision-Language (TVL) Dataset for Multimodal Alignment Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” With the rise of language models, there has been an enormous focus on improving the learning of  LMs to accelerate the learning speed and achieve a certain model performance with as few training steps as possible. This emphasis aids humans in understanding the boundaries… Read More »Researchers from Tsinghua University and Microsoft AI Unveil a Breakthrough in Language Model Training: The Path to Optimal Learning Efficiency Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The exploration of large language models (LLMs) has significantly advanced the capabilities of machines in understanding and generating human-like text. Scaled from millions to billions of parameters, these models represent a leap forward in artificial intelligence research, offering profound insights and applications in various… Read More »Redefining Evaluation: Towards Generation-Based Metrics for Assessing Large Language Models Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Advances in the field of Machine Learning in recent times have resulted in larger input sizes for models. However, the quadratic scaling of computing needed for transformer self-attention poses certain limitations. Recent research has presented a viable method for expanding context windows in transformers… Read More »This AI Paper Introduces BABILong Framework: A Generative Benchmark for Testing Natural Language Processing (NLP) Models on Processing Arbitrarily Lengthy Documents Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recent advances in vision-language models (VLMs) have led to impressive AI assistants capable of understanding and responding to both text and images. However, these models still have limitations that researchers are working to address. Two of the key challenges are: Limited Task Diversity: Many… Read More »Unlocking the Full Potential of Vision-Language Models: Introducing VISION-FLAN for Superior Visual Instruction Tuning and Diverse Task Mastery Vineet Kumar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In an era where the world is increasingly interconnected, the demand for accurate and efficient translation across multiple languages has never been higher. While effective, earlier translation methods often need to catch up regarding scalability and versatility, leading researchers to explore more dynamic solutions.… Read More »Meet TOWER: An Open Multilingual Large Language Model for Translation-Related Tasks Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” We cannot deny the significant strides made in natural language processing (NLP) through large language models (LLMs). Still, these models often need to catch up when dealing with the complexities of structured information, highlighting a notable gap in their capabilities. The crux of the… Read More »Advancing Large Language Models for Structured Knowledge Grounding with StructLM: Model Based on CodeLlama Architecture Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The evolution of large language models (LLMs) marks a revolutionary stride towards simulating human-like understanding and generating natural language. These models, through their capacity to process and analyze vast datasets, have significantly influenced various sectors, including but not limited to automated customer service, language… Read More »Meta AI Research Introduces MobileLLM: Pioneering Machine Learning Innovations for Enhanced On-Device Intelligence Adnan Hassan Artificial Intelligence Category – MarkTechPost