zetabyte

​Quantization is a frequently used strategy applied to production machine learning models, particularly large and complex ones, to make them lightweight by reducing the numerical precision of the model’s parameters (weights) — usually from 32-bit floating-point to lower representations like 8-bit integers. Quantization is a frequently… Read More »Using Quantized Models with Ollama for Application Development Iván Palomares Carrascosa MachineLearningMastery.com

​[[{“value”:” Join Danielle Belgrave and Ben Lorica for a discussion of AI in healthcare. Danielle is VP of AI and machine learning at GSK (formerly GlaxoSmithKline). She and Ben discuss using AI and machine learning to get better diagnoses that reflect the differences between patients.… Read More »Generative AI in the Real World: Danielle Belgrave on Generative AI in Pharma and Medicine Ben Lorica and Danielle Belgrave AI & ML – Radar

​[[{“value”:” In the financial services industry, analysts need to switch between structured data (such as time-series pricing information), unstructured text (such as SEC filings and analyst reports), and audio/visual content (earnings calls and presentations). Each format requires different analytical approaches and specialized tools, creating workflow… Read More »Part 3: Building an AI-powered assistant for investment research with multi-agent collaboration in Amazon Bedrock and Amazon Bedrock Data Automation Sovik Nath AWS Machine Learning Blog

​[[{“value”:” It takes biopharma companies over 10 years, at a cost of over $2 billion and with a failure rate of over 90%, to deliver a new drug to patients. The Market to Molecule (M2M) value stream process, which biopharma companies must apply to bring… Read More »A generative AI prototype with Amazon Bedrock transforms life sciences and the genome analysis process Ganesh Raam Ramadurai AWS Machine Learning Blog

​[[{“value”:” We are excited to announce the availability of Gemma 3 27B Instruct models through Amazon Bedrock Marketplace and Amazon SageMaker JumpStart. With this launch, developers and data scientists can now deploy Gemma 3, a 27-billion-parameter language model, along with its specialized instruction-following versions, to… Read More »Gemma 3 27B model now available on Amazon Bedrock Marketplace and Amazon SageMaker JumpStart Santosh Vallurupalli AWS Machine Learning Blog

​This post is divided into five parts; they are: • Naive Tokenization • Stemming and Lemmatization • Byte-Pair Encoding (BPE) • WordPiece • SentencePiece and Unigram The simplest form of tokenization splits text into tokens based on whitespace. This post is divided into five parts; they… Read More »Tokenizers in Language Models Adrian Tam MachineLearningMastery.com

​[[{“value”:” Organizations today deal with vast amounts of unstructured data in various formats including documents, images, audio files, and video files. Often these documents are quite large, creating significant challenges such as slower processing times and increased storage costs. Extracting meaningful insights from these diverse… Read More »Building a multimodal RAG based application using Amazon Bedrock Data Automation and Amazon Bedrock Knowledge Bases Lana Zhang AWS Machine Learning Blog

​[[{“value”:” Foundation models (FMs) have revolutionised AI capabilities, but adopting them for specific business needs can be challenging. Organizations often struggle with balancing model performance, cost-efficiency, and the need for domain-specific knowledge. This blog post explores three powerful techniques for tailoring FMs to your unique… Read More »Tailoring foundation models for your business needs: A comprehensive guide to RAG, fine-tuning, and hybrid approaches Idil Yuksel AWS Machine Learning Blog

​Machine learning model development often feels like navigating a maze, exciting but filled with twists, dead ends, and time sinks. Machine learning model development often feels like navigating a maze, exciting but filled with twists, dead ends, and time sinks.  Read More