AWS re:Invent ’23 Day 3- Impactful Disclosures on AWS Databases & Generative AI
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Let's explore the new launches and insights of Day 3 of AWS re:Invent ’23?
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Keynote on Machine Learning- Swami Sivasubramanian n?
Dr. Swami Sivasubramanian, Vice President of Databases, Analytics, and Machine Learning at AWS. In a dynamic session, he reveals the latest advancements in databases, analytics, generative AI, and machine learning to accelerate builder productivity. Dr. Swami emphasizes the unfolding nexus between humans, data, and AI, where generative AI emerges as a transformative force, enhancing productivity and creativity.
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He announced the following products:?
Amazon Bedrock Anthropic??
With Claude 2.1’s availability in Amazon Bedrock, you can build enterprise-ready generative artificial intelligence (AI) applications using more honest and reliable AI systems from Anthropic. ?
Meta Llama 2 on Amazon Bedrock??
Meta’s Llama 2 Chat 13B large language model (LLM) on Amazon Bedrock. With this launch, Amazon Bedrock became the first public cloud service to offer a fully managed API for Llama 2, Meta’s next-generation LLM. Now, organizations of all sizes can access Llama 2 Chat models on Amazon Bedrock without managing the underlying infrastructure. This is a step change in accessibility.?
Amazon Titan Multimodal Embeddings?
Amazon Titan Multimodal Embeddings revolutionize user experiences by enhancing the accuracy and context relevance of multimodal search and recommendations. This advanced system processes distinct data types (modalities) such as text and images, allowing input submission in various forms. With Titan Multimodal Embeddings, images and short English text up to 128 tokens are converted into embeddings, capturing semantic meaning and relationships, unlocking powerful insights for your data.?
Amazon Titan Text Lite??
Titan Text Lite has a maximum context length of 4,096 tokens and is a price-performance version ideal for English-language tasks. The model is highly customizable and can be fine-tuned for tasks such as article summarization and copywriting.?
Amazon Titan Text Express??
Titan Text Express has a maximum context length of 8,192 tokens and is ideal for a wide range of tasks, such as open-ended text generation and conversational chat, and support within Retrieval Augmented Generation (RAG) work?ows.?
Amazon Titan Image Generator??
Amazon Titan Image Generator helps create and refine images quickly using English natural language prompts. This helps companies in advertising, e-commerce, media, and entertainment to create studio-quality, realistic images in large volumes and at low cost. The model makes it easy to iterate on image concepts by generating multiple image options based on the text descriptions. The model can understand complex prompts with multiple objects and generates relevant images. It is trained on high-quality, diverse data to create more accurate outputs, such as realistic images with inclusive attributes and limited distortions.?
AWS Generative AI Innovation Center Custom Model Program for Anthropic Claude???
Amazon SageMaker HyperPod??
Amazon SageMaker HyperPod helps reduce the time to train foundation models (FMs) by providing a purpose-built infrastructure for distributed training at scale. It helps to train FMs for weeks or months while SageMaker actively monitors the cluster health and provides automated node and job resiliency by replacing faulty nodes and resuming model training from a checkpoint.?
Amazon SageMaker Innovations???
Vector engine for OpenSearch Serverless?
Vector engine for Amazon OpenSearch Serverless, a simple, scalable, and high-performing similarity search capability. The vector engine makes building modern machine learning (ML) augmented search experiences and generative artificial intelligence (generative AI) applications easy without managing the underlying vector database infrastructure.?
Vector Search Amazon DocumentDB?
Vector search for Amazon DocumentDB (with MongoDB compatibility), a new built-in capability that lets you store, index, and search millions of vectors with millisecond response times within your document database.?
Vector Search Amazon DynamoDB???
Amazon Neptune Analytics??
Amazon Neptune Analytics is a new analytics database engine that makes it faster for data scientists and application developers to analyze large amounts of graph data quickly. With Amazon Neptune Analytics, businesses can quickly load the?dataset from Amazon Neptune or your data lake on Amazon Simple Storage Service (Amazon S3), run your analysis tasks in near real-time, and terminate your graph afterward.?
Amazon OpenSearch Service Zero-ETL integration with Amazon S3?
Amazon OpenSearch Service zero-ETL integration with Amazon S3 is a new way to query operational logs in Amazon S3 and S3-based data lakes without switching between services. Businesses can now analyze infrequently queried data in cloud object stores and simultaneously use the operational analytics and visualization capabilities of OpenSearch Service.?
AWS Clean Rooms ML?
AWS Clean Rooms ML (preview) is a new capability of AWS Clean Rooms that helps you and your partners apply machine learning (ML) models on your collective data without copying or sharing raw data. With this new capability, you can generate predictive insights using ML models while continuing to protect your sensitive data.?
Amazon Q generative SQL in Amazon Redshift??
Amazon Q generative SQL in Amazon Redshift Query Editor generates SQL recommendations from natural language prompts. This helps you to be more productive in extracting insights from your data.?
Amazon Q data integration in AWS Glue???
领英推荐
Build data integration jobs faster. Helps resolve troubleshoot issues via a chat interface.?
Model Evaluation on Amazon Bedrock??
Amazon Bedrock offers a choice of automatic evaluation and human evaluation. Helps to use automatic evaluation with predefined metrics such as accuracy, robustness, and toxicity. For subjective or custom metrics, such as friendliness, style, and alignment to brand voice, you can set up human evaluation workflows with just a few clicks.?
Model evaluations are critical at all stages of development, start by experimenting with different models in the playground environment. To iterate faster, add automatic evaluations of the models.??
PartyRock??
PartyRock is a fun and intuitive, hands-on, generative AI app-building playground by AWS. You can create various apps to experiment with generative AI in just a few steps. For example, you could build an app to generate dad jokes on a chosen topic, create the perfect personalized playlist, recommend what to serve based on ingredients in your pantry, analyze and optimize your party budget, or create an AI storyteller to guide your next fantasy role-playing campaign.?
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The industry potential of generative AI by Shaown Nandi , Director of Technology, Industries?
Shaown Nandi leads solutions architecture, customer solutions, optimization, and prototyping for the AWS industries business, which supports all the company’s largest cutting-edge tech customers.?
He announced the following launches:?
Guardrails for Amazon Bedrock?
Implementing robust safeguards is crucial in the realm of AI. With Guardrails for Amazon Bedrock, organizations can now tailor application-specific safeguards, aligning with their unique use cases and embracing responsible AI policies. This marks a significant step towards building ethical and secure AI applications.?
GenAI-Based Review Summary?
Revolutionizing the shopping experience, GenAI introduces a mobile application that condenses product reviews into key salient points. This time-saving innovation ensures customers make informed decisions swiftly, enhancing their shopping journey.?
Amazon CodeWhisperer?
For developers, efficiency is key. Enter Amazon CodeWhisperer, an AI coding companion that not only accelerates app development but also ensures security. Developers leveraging this tool witness a remarkable 57% faster task completion and a 27% higher likelihood of success, highlighting its indispensable role in boosting productivity.?
Increased Productivity with Amazon Applications Leveraging FMs?
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Team dynamics are transformed with the advent of Generative AI. Recognizing the incredible power, responsibility, and opportunities it brings, teams find themselves at the forefront of innovation, navigating uncharted territories and pushing the boundaries of what's possible.?
The World Economic Forum predicts a significant shift in the job market. By 2027, Generative AI is expected to create 2.6 million new jobs, opening unprecedented opportunities for individuals skilled in this transformative technology.?
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Future-proofing your applications with AWS databases?
Database updates?
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Keynotes?
Jeff Carter , Vice President of Databases & Migration Services, oversees a spectrum of vital database services, while Rahul Pathak , Vice President of Relational Database Engines, spearheads Amazon Aurora, Redshift, and QLDB. Dr. Ruba Borno, Vice President of AWS Worldwide Channels and Alliances. ?
They explore strategic partnerships, showcasing how AWS and its partners achieve groundbreaking milestones, redefine business models, and drive unparalleled outcomes.??
Discover the collaborative synergy that propels AWS and its partners to provide innovative solutions, robust customer opportunities, and tailored programs, fostering collective prosperity across industries and geographies. ?
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Conclusion?
AWS solutions are designed to tackle complex business challenges.?The innovation in technology delves into how these groundbreaking launches are strategically crafted to address and resolve pressing issues faced by businesses.?
Don't miss the chance to learn how AWS continually enhances the digital experience for partners, connecting them with higher-value opportunities and ensuring long-term success.?