A Technology Broker and Management Company Specializing in KM Systems
Favorite AI agents continue to gain momentum, as businesses use the power of generative AI to reinvent customer experiences and automate complex workflows. We are seeing Amazon Bedrock Agents applied in investment research, insurance claims processing, root cause analysis, advertising campaigns, and much more. Agents use the reasoning capability of
Read More
Shared by AWS Machine Learning February 14, 2025
Favorite 39 students in Ireland from underrepresented backgrounds have been awarded scholarships to study STEM courses, with Google.org support. View Original Source (blog.google/technology/ai/) Here.
Favorite Here’s how Google built the I/O 2025 puzzle save the date, including a Gemini integration. View Original Source (blog.google/technology/ai/) Here.
Favorite The integration of generative AI capabilities is driving transformative changes across many industries. Although weather information is accessible through multiple channels, businesses that heavily rely on meteorological data require robust and scalable solutions to effectively manage and use these critical insights and reduce manual processes. This solution demonstrates how
Read More Shared by AWS Machine Learning February 12, 2025
Favorite Today, we are excited to announce that the Falcon 3 family of models from TII are available in Amazon SageMaker JumpStart. In this post, we explore how to deploy this model efficiently on Amazon SageMaker AI. Overview of the Falcon 3 family of models The Falcon 3 family, developed
Read More Shared by AWS Machine Learning February 12, 2025
Favorite This blog post is co-written with George Orlin from Meta. Today, we are excited to announce that Meta’s Segment Anything Model (SAM) 2.1 vision segmentation model is publicly available through Amazon SageMaker JumpStart to deploy and run inference. Meta SAM 2.1 provides state-of-the-art video and image segmentation capabilities in
Read More Shared by AWS Machine Learning February 12, 2025
Favorite Generative AI has emerged as a transformative force, captivating industries with its potential to create, innovate, and solve complex problems. However, the journey from a proof of concept to a production-ready application comes with challenges and opportunities. Moving from proof of concept to production is about creating scalable, reliable,
Read More Shared by AWS Machine Learning February 12, 2025
Favorite The evaluation of large language model (LLM) performance, particularly in response to a variety of prompts, is crucial for organizations aiming to harness the full potential of this rapidly evolving technology. The introduction of an LLM-as-a-judge framework represents a significant step forward in simplifying and streamlining the model evaluation
Read More Shared by AWS Machine Learning February 12, 2025
Favorite This blog post is co-written with Moran beladev, Manos Stergiadis, and Ilya Gusev from Booking.com. Large language models (LLMs) have revolutionized the field of natural language processing with their ability to understand and generate humanlike text. Trained on broad, generic datasets spanning a wide range of topics and domains,
Read More Shared by AWS Machine Learning February 12, 2025
Favorite There’s a growing demand from customers to incorporate generative AI into their businesses. Many use cases involve using pre-trained large language models (LLMs) through approaches like Retrieval Augmented Generation (RAG). However, for advanced, domain-specific tasks or those requiring specific formats, model customization techniques such as fine-tuning are sometimes necessary.
Read More Shared by AWS Machine Learning February 12, 2025