Favorite Large language models (LLMs) have raised the bar for human-computer interaction where the expectation from users is that they can communicate with their applications through natural language. Beyond simple language understanding, real-world applications require managing complex workflows, connecting to external data, and coordinating multiple AI capabilities. Imagine scheduling a

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Shared by AWS Machine Learning April 15, 2025

Favorite The AWS DeepRacer League is the world’s first autonomous racing league, open to anyone. Announced at re:Invent 2018, it puts machine learning in the hands of every developer through the fun and excitement of developing and racing self-driving remote control cars. Through the past 7 years, over 560 thousand

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Shared by AWS Machine Learning April 12, 2025

Favorite This post is co-written with Keith Brazil, Julien Didier, and Bryan Rand from TransPerfect. TransPerfect, a global leader in language and technology solutions, serves a diverse array of industries. Founded in 1992, TransPerfect has grown into an enterprise with over 10,000 employees in more than 140 cities on six

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Shared by AWS Machine Learning April 12, 2025

Favorite Many organizations rely on multiple third-party applications and services for different aspects of their operations, such as scheduling, HR management, financial data, customer relationship management (CRM) systems, and more. However, these systems often exist in silos, requiring users to manually navigate different interfaces, switch between environments, and perform repetitive

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Shared by AWS Machine Learning April 12, 2025

Favorite Today, we are excited to announce that Mistral AI’s Pixtral Large foundation model (FM) is generally available in Amazon Bedrock. With this launch, you can now access Mistral’s frontier-class multimodal model to build, experiment, and responsibly scale your generative AI ideas on AWS. AWS is the first major cloud

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Shared by AWS Machine Learning April 11, 2025

Favorite Financial institutions today face an increasingly complex regulatory world that demands robust, efficient compliance mechanisms. Although organizations traditionally invest countless hours reviewing regulations such as the Anti-Money Laundering (AML) rules and the Bank Secrecy Act (BSA), modern AI solutions offer a transformative approach to this challenge. By using Amazon

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Shared by AWS Machine Learning April 11, 2025

Favorite Today, businesses are using AI and generative models to improve productivity in their teams and provide better experiences to their customers. Personalized outbound communication can be a powerful tool to increase user engagement and conversion. For instance, as a marketing manager for a video-on-demand company, you might want to

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Shared by AWS Machine Learning April 11, 2025

Favorite As businesses and developers increasingly seek to optimize their language models for specific tasks, the decision between model customization and Retrieval Augmented Generation (RAG) becomes critical. In this post, we seek to address this growing need by offering clear, actionable guidelines and best practices on when to use each

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Shared by AWS Machine Learning April 11, 2025

Favorite As businesses and developers increasingly seek to optimize their language models for specific tasks, the decision between model customization and Retrieval Augmented Generation (RAG) becomes critical. In this post, we seek to address this growing need by offering clear, actionable guidelines and best practices on when to use each

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Shared by AWS Machine Learning April 11, 2025

Favorite Training a frontier model is highly compute-intensive, requiring a distributed system of hundreds, or thousands, of accelerated instances running for several weeks or months to complete a single job. For example, pre-training the Llama 3 70B model with 15 trillion training tokens took 6.5 million H100 GPU hours. On

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Shared by AWS Machine Learning April 11, 2025