Learn how to optimize and deploy popular open-source models like Qwen3, GPT-OSS, and Llama4 using advanced inference engines such as vLLM on SageMaker. We'll explore key features including bidirectional streaming for audio and text applications, and share proven optimization techniques for inferencing. Through live demos, learn to boost performance with KV caching, intelligent routing, and autoscaling to maintain stability under varying loads. We'll demonstrate solutions for building Agentic workflows with SageMaker AI, LangChain, and Amazon Bedrock AgentCore integration and share best practices helping you confidently move from prototype to trusted AI experiences that delight users.

Learn more: More AWS events: https://go.aws/3kss9CP

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ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

Building sustainable, cost-effective generative AI on AWS requires integrating agentic AI, efficient architecture, and cloud-native optimization. Agentic systems using Amazon Bedrock AgentCore employ contextual memory, asynchronous execution, and on-demand tool invocation to minimize compute waste. MCP enables secure connections between AI agents, AWS services, and custom tools. Efficiency increases through AWS's Trainium and Inferentia2 silicon (50% better performance per watt), Amazon SageMaker for scalable development, and optimization techniques like quantization and speculative decoding. Auto-scaling, batch processing, and spot instances prevent over-provisioning. Combined with CloudWatch and Cost Explorer monitoring, this approach delivers high-performance, low-carbon generative AI solutions.

Learn more: More AWS events: https://go.aws/3kss9CP

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ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

Training large AI models requires significant compute resources and can be time and cost intensive. In this session, learn to optimize and accelerate your model training workloads using AWS's purpose-built infrastructure and tools. We'll dive deep into leveraging services like Amazon SageMaker HyperPod for distributed training at scale and SageMaker fully managed training jobs for cost-effective ML acceleration. You'll learn to scale training across clusters using techniques like data and model parallelism, automated model tuning, and efficient checkpoint management. Through real customer examples, see how to reduce training time by up to 40%, optimize costs, and build high-performance training pipelines.

Learn more: More AWS events: https://go.aws/3kss9CP

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ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

Learn how Amazon SageMaker AI transforms model development with a unified environment for all your AI workloads - from interactive model development on IDEs to maximizing task and compute resource utilization across training and inference workloads. We'll demonstrate how to use SageMaker Studio as the familiar IDE to develop, submit, and monitor ML jobs, while leveraging the scalability and resiliency of HyperPod environment for computationally intensive tasks like training and deploying large foundation models. You will also learn how HyperPod task governance capability can help you automatically allocate compute resources based on task prioritization end-to-end through the model development lifecycle.

Learn more: More AWS events: https://go.aws/3kss9CP

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ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

Build robust security frameworks for AI implementations through hands-on coding. We'll implement data protection patterns, secure prompt handling, and PII detection. Code along as we create privacy-preserving pipelines in SageMaker, configure IAM policies for model access control, and automate compliance checks with AWS Config. Develop defenses against prompt injection attacks, implement differential privacy techniques, and build CloudTrail audit trails. Leave with production-ready code templates for governance guardrails and technical safeguards that protect sensitive data throughout the AI lifecycle while enabling innovation and maintaining trust in your AI applications.

Learn more: More AWS events: https://go.aws/3kss9CP

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ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

Unstructured data often holds untapped value, and Amazon SageMaker makes it possible to turn that data into insights and AI-ready assets. In this session, you'll learn how to bring unstructured data from Amazon S3 into SageMaker, create searchable assets, and build knowledge bases for Amazon Bedrock to improve retrieval-augmented generation (RAG) accuracy. Discover how teams can collaborate across roles, data users can self-serve to find and understand the right data, and governance ensures that the right people get the right access. Bayer will share how they use these capabilities to unlock unstructured data and accelerate research and innovation.

Learn more: More AWS events: https://go.aws/3kss9CP

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ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

Amazon SageMaker HyperPod helps build, train and deploy AI models at scale. You can spin-up preferred IDE on HyperPod to develop their models and run experiments, then scale to thousands of accelerators to run distributed training and finally deploy models for real-time or batch inference. With HyperPod task governance capabilities, you can optimize the utilization of the cluster resources. In this talk, we will show how interaction with HyperPod clusters is simplified via the SageMaker HyperPod CLI and SDK, which streamlined end-to-end model development, from training, fine-tuning to deployment. We'll show HyperPod CLI/SDK capabilities with live coding and troubleshooting.

Learn more: More AWS events: https://go.aws/3kss9CP

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ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

Apache Spark on AWS Glue, Amazon EMR, and Amazon SageMaker enhances the optimization of large-scale data processing workloads. These include faster read and write throughput, accelerated processing of common file formats, and expanded Amazon S3 support through the S3A protocol for greater flexibility in write operations. In this session, we'll explore recent enhancements in Spark for distributed computation and in-memory storage to enable efficient data aggregation and job optimization. We'll also demonstrate how these innovations, combined with Spark's native capabilities, strengthen governance and encryption to help you optimize performance while maintaining control and compliance. Join us to learn how to build unified, secure, and high-performance ETL pipelines on AWS using Spark.

Learn more: More AWS events: https://go.aws/3kss9CP

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ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

Design software pioneer Autodesk is transforming computer-aided design (CAD) by harnessing generative AI and Amazon Web Services (AWS). The company is developing advanced AI foundation models, like "Project Bernini," which can generate precise 2D and 3D geometric designs based on physical principles.

By utilizing AWS technologies such as Amazon DynamoDB, Elastic MapReduce (EMR), Amazon SageMaker, and Elastic Fabric Adapter, Autodesk has significantly enhanced its AI development process. These innovations have halved foundation model development time and increased AI productivity by 30%.

Learn more about AWS events: https://go.aws/events

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ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

reInvent2024 #AWSreInvent2024 #AWSEvents

Teams across organizations are training new models, fine-tuning them with their data, and running inference at scale—all of which requires timely access to accelerated compute resources. Given the overwhelming demand and a finite budget, organizations are unable to allocate accelerated compute resources to each project, team, and task when needed. In this session, learn how the new governance capability in Amazon SageMaker HyperPod radically simplifies the prioritization and allocation of compute resources to teams and projects across the organization, which helps teams complete the most important generative AI development projects on time while avoiding cost overruns due to underutilized compute resources.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

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About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

Amazon DynamoDB is a serverless, NoSQL, fully managed database with single-digit millisecond performance at any scale. DynamoDB lends itself to easy integration with several other AWS services. In this session, dive deep into zero-ETL integrations between Amazon DynamoDB and Amazon SageMaker Lakehouse, Amazon OpenSearch Service, and Amazon Redshift. Learn from AWS experts about how these integrations can reduce operational burden and cost, allowing you to focus on creating value from data instead of preparing data for analysis.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

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About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

Amazon SageMaker HyperPod is purpose built for developing foundation models (FM), reducing time to train by up to 40%. To accelerate generative AI innovation even more, SageMaker HyperPod now empowers users to create flexible training plans with multiple blocks of accelerated compute resources, allowing them to train FMs within their budgets and timelines. In addition, users can get started quickly with the ready-to-use SageMaker HyperPod recipes to train and fine-tune popular publicly available FMs in hours instead of weeks with state-of-the-art cost performance.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

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About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

Foundation models continue to grow in size with billions or even trillions of parameters, and they often won’t fit into a single accelerator device such as a GPU. Amazon SageMaker distributed training capabilities help you apply advanced parallelization techniques, communication optimizations, and efficient checkpointing strategies to distribute your training workload across hundreds or thousands of GPUs, reducing model training time and cost by up to 20%. Join this session for a deep dive into the infrastructure used to run distributed training at scale. Learn how to integrate Amazon SageMaker training capabilities to reduce the total cost of foundation model development.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

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About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

Unlock the power of Amazon SageMaker Studio, a comprehensive IDE for streamlining the machine learning (ML) lifecycle. Explore data exploration, transformation, automated feature engineering with AutoML, and collaborative coding using integrated Jupyter Notebooks. Discover how SageMaker Studio MLOps integration simplifies model deployment, monitoring, and governance. Through live demos and best practices, learn to leverage SageMaker Studio tools for efficient feature engineering, model development, collaboration, and data security.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

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About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

Discover how the AI-driven capabilities of Amazon Q Developer streamline data integration across AWS services, such as AWS Glue, Amazon SageMaker Catalog, Amazon Redshift, Amazon SageMaker AI, and more. Learn how data engineers and ETL developers can build complex jobs, troubleshoot, and explore data using natural language through an intuitive chat interface in Amazon SageMaker Unified Studio. Join this session to see how Amazon Q Developer enhances productivity and accelerates workflows, transforming the way you handle data integration.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

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About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

In today’s data-driven landscape, organizations rely on enterprise applications to manage critical business processes. However, extracting and integrating this data into data warehouses and data lakes can be complex. This session explores a new zero-ETL capability that simplifies ingesting data to Amazon SageMaker Lakehouse and Amazon Redshift via AWS Glue from enterprise applications such as Salesforce, ServiceNow, and Zendesk. See how zero-ETL automates the extract and load process, expanding your analytics and machine solutions with valuable SaaS data.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

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About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

Amazon SageMaker HyperPod offers purpose-built infrastructure and tools to accelerate foundation model (FM) development, including high-performance accelerated computing, resilient infrastructure for distributed training at scale, observability and experimentation tools, and cost-effective inference options and recommendations. In this session, learn how HyperPod helps data scientists and ML engineers from Amazon build Amazon Nova FMs that power Amazon's generative AI innovation.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

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About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

The rapid rise of generative AI is transforming how businesses approach data and analytics, blending traditional workflows and converging analytics and AI use cases. In this session, explore the next generation of Amazon SageMaker: a unified platform that brings together data, analytics, and AI. Discover how SageMaker streamlines your ability to build and innovate with data, and hear an introduction to the core capabilities. Walk through an in-depth demo of the new SageMaker Unified Studio (preview) and hear how it meets the needs of Olympics.com for the 2028 Los Angeles Olympic Games.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

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About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

Amazon SageMaker offers the highest-performing ML infrastructure and a resilient training environment to help you train foundation models (FMs) for months without disruption. Top AI companies, from enterprises to startups, build cutting-edge models with billions of parameters on SageMaker. Discover how you can save up to 40% in training time and costs with state-of-the-art training capabilities such as Amazon SageMaker HyperPod, training jobs, and optimized distributed training frameworks. Join this session to learn how to run large-scale, cost-effective model training on SageMaker to accelerate generative AI development.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

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About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

Learn how to empower anyone in your organization to unlock valuable insights from your data with Amazon SageMaker Canvas. With SageMaker Canvas, you can create highly accurate machine learning models for regression, classification, and time-series forecasting and fine-tune select foundation models—all without writing code or needing machine learning experience. In this session, explore how to scale ML operations through API-driven automation. Also discover how Gosoft used SageMaker Canvas AutoML time-series capabilities to automate demand forecasting for thousands of products across 15,000 7-Eleven stores in Thailand.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

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About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

Organizations need robust, scalable, and cost-effective solutions to deploy and serve foundation models (FMs). This session explores how to use Amazon SageMaker to deploy FMs to make predictions at the best price performance for any use case. Get a detailed overview of deployment strategies to support large-scale generative AI inferencing, and learn how to architect solutions that optimize performance and cost.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

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About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

From startups to enterprises, organizations trust AWS to innovate with comprehensive, secure, and price-performant generative AI infrastructure. Amazon SageMaker HyperPod is a purpose-built infrastructure for FM development at scale. In this session, learn how leading AI companies strategize their FM development process and leverage SageMaker HyperPod to build state-of-the-art FMs efficiently.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

Data warehouses, data lakes, or both? Explore how Amazon SageMaker Lakehouse, a unified, open, and secure data lake house simplifies analytics and AI. This session unveils how SageMaker Lakehouse provides unified access to data across Amazon S3 data lakes, Amazon Redshift data warehouses, and third-party sources without altering your existing architecture. Learn how it breaks down data silos and opens your data estate with Apache Iceberg compatibility, offering flexibility to use preferred query engines and tools that accelerate your time to insights. Discover robust security features, including consistent fine-grained access controls, that help democratize data without compromises.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

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About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

Amazon SageMaker provides purpose-built tools to create a reliable path to production for both machine learning and generative AI workflows. SageMaker MLOps helps you automate and standardize processes across generative AI and ML lifecycles. Using SageMaker, you can train, test, troubleshoot, deploy, and govern models at scale to boost your productivity while maintaining model performance in production. Explore the latest and greatest capabilities such as SageMaker Experiments with MLflow, SageMaker Pipelines, and SageMaker Model Registry supporting efficiencies in your ML workflow (MLOps) and generative AI workflows (FMOps). Learn how to bring generative AI concept to production quickly and securely.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

Amazon SageMaker allows data scientists and ML engineers to accelerate their generative AI journeys by deeply customizing publicly available foundation models (FMs) and deploying them into production applications. The journey begins with Amazon SageMaker JumpStart, an ML hub that provides access to hundreds of publicly available FMs, such as Llama 3, Falcon, and Mistral. Join this session to learn how you can evaluate FMs, select an FM, customize it with advanced techniques, and deploy it—all while implementing AI responsibility, simplifying access control, and enhancing transparency.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024