​[[{“value”:” In the expanding natural language processing domain, text embedding models have become fundamental. These models convert textual information into a numerical format, enabling machines to understand, interpret, and manipulate human language. This technological advancement supports various applications, from search engines to chatbots, enhancing efficiency… Read More »This AI Paper by Snowflake Introduces Arctic-Embed: Enhancing Text Retrieval with Optimized Embedding Models Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the quest for Artificial General Intelligence, LLMs and LMMs stand as remarkable tools, akin to brilliant minds, capable of diverse human-like tasks. While benchmarks are crucial for assessing their capabilities, the landscape is fragmented, with datasets scattered across platforms like Google Drive and… Read More »LLaVA-NeXT: Advancements in Multimodal Understanding and Video Comprehension Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” On May 13, OpenAI held its massive Spring Update event, a successful event with many innovations, including GPT-4o; however, today, hours ago, Google held its very own event called Google I/O ’24. During the event, Google introduced and improved many things, including Ask Photos,… Read More »Excited about GPT-4o? Now Check out Google AI’s New Project ‘Astra’: The Multimodal Answer to the New ChatGPT Nishant N Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Plant breeding is pivotal in ensuring stable food for the growing global population. To meet increasing food demands efficiently, plant breeding must achieve high rates of genetic gain. Genomic selection is a powerful tool, leveraging genome-wide DNA variation and phenotypic data to predict the… Read More »Neural Networks and Nucleotides: AI in Genomic Manufacturing Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) are central to processing vast amounts of data quickly and accurately. They depend critically on the quality of instruction tuning to enhance their reasoning capabilities. Instruction tuning is essential as it prepares LLMs to solve new, unseen problems effectively by… Read More »Web-Instruct’s Instruction Tuning for MAmmoTH2 and MAmmoTH2-Plus Models: The Power of Web-Mined Data in Enhancing Large Language Models Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” This post is a guest post co-written with Tengyu Ma and Wen Phan from Voyage AI. Organizations today have access to vast amounts of data, much of it proprietary, which holds the potential to unlock valuable insights when used effectively in generative artificial intelligence… Read More »RAG architecture with Voyage AI embedding models on Amazon SageMaker JumpStart and Anthropic Claude 3 models Tengyu Ma AWS Machine Learning Blog

​We’re introducing a series of updates across the Gemini family of models, including the new 1.5 Flash, our lightweight model for speed and efficiency, and Project Astra, our vision for the future of AI assistants. We’re introducing a series of updates across the Gemini family of… Read More »Gemini breaks new ground: a faster model, longer context and AI agents Google DeepMind Blog

​We’re introducing Veo, our most capable model for generating high-definition video, and Imagen 3, our highest quality text-to-image model. We’re also sharing new demo recordings created with our Music AI Sandbox. We’re introducing Veo, our most capable model for generating high-definition video, and Imagen 3, our… Read More »New generative media models and tools, built with and for creators Google DeepMind Blog

​Announcing our novel watermarking method for AI-generated text and video, and how we’re bringing SynthID to key Google products Announcing our novel watermarking method for AI-generated text and video, and how we’re bringing SynthID to key Google products  Read More  

​[[{“value”:” Recent advances in artificial intelligence have led to the emergence of generative AI that can produce human-like novel content such as images, text, and audio. These models are pre-trained on massive datasets and, to sometimes fine-tuned with smaller sets of more task specific data.… Read More »Incorporate offline and online human – machine workflows into your generative AI applications on AWS Tulip Gupta AWS Machine Learning Blog