A new era of discovery
Favorite James Manyika’s opening remarks from the AI for Science Forum. View Original Source (blog.google/technology/ai/) Here.
The AI for Science Forum: A new era of discovery
Favorite Google DeepMind and the Royal Society are co-hosting the AI for Science Forum to explore how AI is rapidly accelerating science. View Original Source (blog.google/technology/ai/) Here.
Google.org’s $20 million fund for AI and science
Favorite Google.org announced a $20 million commitment to support AI for scientific breakthroughs. Learn more about what the commitment entails View Original Source (blog.google/technology/ai/) Here.
9 ways AI is advancing science
Favorite A recap of the some of the biggest scientific breakthroughs over the past two years. View Original Source (blog.google/technology/ai/) Here.
Open Data and Open Source AI: Charting a course to get more of both
Favorite While working to define Open Source AI, we realized that data governance is an unresolved issue. The Open Source Initiative organized a workshop to discuss data sharing and governance for AI training. The critical question posed to attendees was “How can we best govern and share data to power
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Shared by voicesofopensource November 18, 2024
Principal Financial Group uses QnABot on AWS and Amazon Q Business to enhance workforce productivity with generative AI
Favorite Principal is a global financial company with nearly 20,000 employees passionate about improving the wealth and well-being of people and businesses. In business for 145 years, Principal is helping approximately 64 million customers (as of Q2, 2024) plan, protect, invest, and retire, while working to support the communities where
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Shared by AWS Machine Learning November 15, 2024
Fine-tune multimodal models for vision and text use cases on Amazon SageMaker JumpStart
Favorite In the rapidly evolving landscape of AI, generative models have emerged as a transformative technology, empowering users to explore new frontiers of creativity and problem-solving. These advanced AI systems have transcended their traditional text-based capabilities, now seamlessly integrating multimodal functionalities that expand their reach into diverse applications. models have
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How GoDaddy built Lighthouse, an interaction analytics solution to generate insights on support interactions using Amazon Bedrock
Favorite This post is co-written with Mayur Patel, Nick Koenig, and Karthik Jetti from GoDaddy. GoDaddy empowers everyday entrepreneurs by providing all the help and tools to succeed online. With 21 million customers worldwide, GoDaddy’s global solutions help seamlessly connect entrepreneurs’ identity and presence with commerce, leading to profitable growth.
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Cohere Embed multimodal embeddings model is now available on Amazon SageMaker JumpStart
Favorite The Cohere Embed multimodal embeddings model is now generally available on Amazon SageMaker JumpStart. This model is the newest Cohere Embed 3 model, which is now multimodal and capable of generating embeddings from both text and images, enabling enterprises to unlock real value from their vast amounts of data
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From RAG to fabric: Lessons learned from building real-world RAGs at GenAIIC – Part 2
Favorite In Part 1 of this series, we defined the Retrieval Augmented Generation (RAG) framework to augment large language models (LLMs) with a text-only knowledge base. We gave practical tips, based on hands-on experience with customer use cases, on how to improve text-only RAG solutions, from optimizing the retriever to
Read More Shared by AWS Machine Learning November 15, 2024