zetabyte

​[[{“value”:” Large Language Models (LLMs) have shown significant improvements when explicitly trained on structured reasoning traces, allowing them to solve mathematical equations, infer logical conclusions, and navigate multistep planning tasks. However, the computational resources required to process these lengthy reasoning traces are substantial. Researchers continue… Read More »This AI Paper Introduces a Latent Token Approach: Enhancing LLM Reasoning Efficiency with VQ-VAE Compression Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In many generative AI applications, a large language model (LLM) like Amazon Nova is used to respond to a user query based on the model’s own knowledge or context that it is provided. However, as use cases have matured, the ability for a model… Read More »Tool choice with Amazon Nova models Jean Farmer AWS Machine Learning Blog

​[[{“value”:” Generative AI is rapidly transforming the modern workplace, offering unprecedented capabilities that augment how we interact with text and data. At Amazon Web Services (AWS), we recognize that many of our customers rely on the familiar Microsoft Office suite of applications, including Word, Excel,… Read More »Integrate generative AI capabilities into Microsoft Office using Amazon Bedrock Martin Maritsch AWS Machine Learning Blog

​[[{“value”:” As we gather for NVIDIA GTC, organizations of all sizes are at a pivotal moment in their AI journey. The question is no longer whether to adopt generative AI, but how to move from promising pilots to production-ready systems that deliver real business value.… Read More »From innovation to impact: How AWS and NVIDIA enable real-world generative AI success Rahul Pathak AWS Machine Learning Blog

​[[{“value”:” Today, we are excited to announce that Amazon Q Business—a fully managed generative-AI powered assistant that you can configure to answer questions, provide summaries and generate content based on your enterprise data—is now generally available in the Europe (Ireland) AWS Region. Since its launch,… Read More »Amazon Q Business now available in Europe (Ireland) AWS Region Jose Navarro AWS Machine Learning Blog

​[[{“value”:” Converting complex documents into structured data has long posed significant challenges in the field of computer science. Traditional approaches, involving ensemble systems or very large foundational models, often encounter substantial hurdles such as difficulty in fine-tuning, generalization issues, hallucinations, and high computational costs. Ensemble… Read More »IBM and Hugging Face Researchers Release SmolDocling: A 256M Open-Source Vision Language Model for Complete Document OCR Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” This post is cowritten with Abdullahi Olaoye, Akshit Arora and Eliuth Triana Isaza at NVIDIA. As enterprises continue to push the boundaries of generative AI, scalable and efficient model training frameworks are essential. The NVIDIA NeMo Framework provides a robust, end-to-end solution for developing,… Read More »Running NVIDIA NeMo 2.0 Framework on Amazon SageMaker HyperPod Abdullahi Olaoye AWS Machine Learning Blog

​[[{“value”:” Today, we are excited to announce that the NeMo Retriever Llama3.2 Text Embedding and Reranking NVIDIA NIM microservices are available in Amazon SageMaker JumpStart. With this launch, you can now deploy NVIDIA’s optimized reranking and embedding models to build, experiment, and responsibly scale your… Read More »NeMo Retriever Llama 3.2 text embedding and reranking NVIDIA NIM microservices now available in Amazon SageMaker JumpStart Niithiyn Vijeaswaran AWS Machine Learning Blog

​[[{“value”:” Retrieval-augmented generation (RAG) has emerged as a powerful paradigm for enhancing the capabilities of large language models (LLMs). By combining LLMs’ creative generation abilities with retrieval systems’ factual accuracy, RAG offers a solution to one of LLMs’ most persistent challenges: hallucination. In this tutorial,… Read More »Building a Retrieval-Augmented Generation (RAG) System with FAISS and Open-Source LLMs Mohammad Asjad Artificial Intelligence Category – MarkTechPost