Vatsal Shah’s Post

Amazon Bedrock now supports compressed embeddings from Cohere Embed! 💡 Cohere Embed, a top text embedding model, is widely known for enhancing RAG & semantic search systems. The int8 and binary compressed embeddings now available empower developers and businesses to create more efficient #generativeAI applications without sacrificing performance. Explore more at: https://go.aws/4eBniXm #AWS ☁️

Cohere’s compression-aware model training techniques allows the model to output embeddings in binary and int8 precision format, which are significantly smaller in size than the often used FP32 precision format, with minimal accuracy degradation. This unlocks the ability to run your enterprise search applications faster, cheaper, and more efficiently. Amazon Bedrock now supports compressed embeddings from Cohere Embed #aws #genAI #embeddingmodels #cohere #bedrock

Amazon SageMaker Clarify now supports foundation model evaluations https://ift.tt/SnFXHDO Foundation model evaluations with SageMaker Clarify is now generally available. This capability helps data scientists and machine learning engineers evaluate, compare, and select foundation models based on a variety of criteria across different tasks within minutes. via Recent Announcements https://ift.tt/PoLO1CE April 25, 2024 at 07:02PM #aws #cloudcomputing

I'm thrilled to share a new blog post I co-authored with the AWS team, where we dive into how Monks quadrupled processing speed for real-time diffusion AI image generation using Amazon SageMaker and AWS Inferentia2. In this post, we explore how we tackled challenges like scalability and cost management, ultimately achieving a 60% reduction in cost per image while maintaining low latency. Whether you're dealing with high-demand AI workloads or interested in AWS Inferentia2's capabilities, this post offers valuable insights. Check it out and let me know what you think! https://lnkd.in/g-B9gXFU #AWS #MachineLearning #GenerativeAI #Inferentia2 #SageMaker #TechInnovation #Monks

Claude 3 Haiku Model Now Available on Amazon Bedrock Introduction Amazon Web Services (AWS) has made a significant announcement with the general availability of fine-tuning for Anthropic’s Claude 3 Haiku model in Amazon Bedrock, specifically in the US West (Oregon) region. This development is noteworthy as Amazon Bedrock stands out as the singular, fully managed service that allows businesses to fine-tune Claude models. This capability provides the opportunity to enhance the Claude 3 Haiku model’s performance by customizing it with your own task-specific training dataset, thereby improving model accuracy, quality, and consistency tailored to your business needs. Understanding Fine-Tuning Fine-tuning is a process that involves customizing a pre-trained large […] https://lnkd.in/dvqgkPPB https://lnkd.in/dnA3hBnU

After many month's through the publishing process, Jayson Sizer McIntosh, Pooja Ayre ☁️ and I have managed to release our Amazon Web Services (AWS) AI governance blog on automated model approval pipelines for enterprise ML platforms. 🧠 Large organizations in regulated industries can use this to centrally manage the approval of their ML models to test and production environments while empowering their distributed product teams to operate independently. https://lnkd.in/ehuYZtrH

The number of big announcements from this year’s #AWSreInvent conference in Las Vegas is truly mind-boggling. #VentureBeat outlines some of the major highlights: • Amazon Nova Models: New foundation models for text, image, and video generation. • Bedrock Multi-Agent Orchestration: Enables orchestration of multiple AI-powered agents. • SageMaker Unified Platform: Seamlessly integrates data lakes and warehouses. • Trainium AI Chips: Purpose-built for machine learning. AWS continues to innovate and provide powerful tools for AI development and #enterprise applications! There’s even more news from the floor here:

The number of big announcements from this year’s #AWSreInvent conference in Las Vegas is truly mind-boggling. #VentureBeat outlines some of the major highlights: • Amazon Nova Models: New foundation models for text, image, and video generation. • Bedrock Multi-Agent Orchestration: Enables orchestration of multiple AI-powered agents. • SageMaker Unified Platform: Seamlessly integrates data lakes and warehouses. • Trainium AI Chips: Purpose-built for machine learning. AWS continues to innovate and provide powerful tools for AI development and #enterprise applications! There’s even more news from the floor here:

In the rapidly evolving domain of machine learning, ensuring fairness and explainability in model predictions has become crucial. With Amazon SageMaker Clarify, these critical aspects are not just an afterthought but integral components of the model development and deployment process. This article delves into the world of SageMaker Clarify, offering a comprehensive guide to its capabilities and practical applications. Read more: https://lnkd.in/gyE_ANbZ #aws #awscertified #awscertification

The number of big announcements from this year’s #AWSreInvent conference in Las Vegas is truly mind-boggling. #VentureBeat outlines some of the major highlights: • Amazon Nova Models: New foundation models for text, image, and video generation. • Bedrock Multi-Agent Orchestration: Enables orchestration of multiple AI-powered agents. • SageMaker Unified Platform: Seamlessly integrates data lakes and warehouses. • Trainium AI Chips: Purpose-built for machine learning. AWS continues to innovate and provide powerful tools for AI development and #enterprise applications! There’s even more news from the floor here: