Accelerating LLM fine-tuning with unstructured data using SageMaker Unified Studio and S3
TutoSartup excerpt from this article:
3% demonstrates strong baseline performance, this level might not be the most efficient for tasks requiring a higher degree of accuracy and precision... For this task, we provide our large language model (LLM) with an input image and question and receive an answer...2 11B Vision Instruct model... Out of the box, this base model achieves an Average Normalized Levenshtein Similarity (ANLS) score of ...
3% demonstrates strong baseline performance, this level might not be the most efficient for tasks requiring a higher degree of accuracy and precision... For this task, we provide our large language model (LLM) with an input image and question and receive an answer...2 11B Vision Instruct model... Out of the box, this base model achieves an Average Normalized Levenshtein Similarity (ANLS) score of ...
Introducing Amazon Polly Bidirectional Streaming: Real-time speech synthesis for conversational AI
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Today, we’re excited to announce the new Bidirectional Streaming API for Amazon Polly, enabling streamlined real-time text-to-speech (TTS) synthesis where you can start sending text and receiving audio simultaneously... What’s new: Bidirectional Streaming The StartSpeechSynthesisStream API introduces a fundamentally different approach: Send text incrementally: Stream text to Amazon Poll...
Today, we’re excited to announce the new Bidirectional Streaming API for Amazon Polly, enabling streamlined real-time text-to-speech (TTS) synthesis where you can start sending text and receiving audio simultaneously... What’s new: Bidirectional Streaming The StartSpeechSynthesisStream API introduces a fundamentally different approach: Send text incrementally: Stream text to Amazon Poll...
Markets Are Decoupling Again, Based On Return Correlations
TutoSartup excerpt from this article:
The benefits of diversifying across asset classes as a risk‑management tool are widely accepted, but what’s easily overlooked is that the relative benefits wax and wane over time... That doesn’t invalidate global asset allocation, but it does serve as a reminder that your mileage will vary...There are several ways to measure asset allocation’s value for portfolio design and managemen...
The benefits of diversifying across asset classes as a risk‑management tool are widely accepted, but what’s easily overlooked is that the relative benefits wax and wane over time... That doesn’t invalidate global asset allocation, but it does serve as a reminder that your mileage will vary...There are several ways to measure asset allocation’s value for portfolio design and managemen...
Announcing Amazon Aurora PostgreSQL serverless database creation in seconds
TutoSartup excerpt from this article:
Customers can already create production-ready Amazon DynamoDB tables and Amazon Aurora DSQL databases in seconds... He previewed creating an Amazon Aurora serverless database with the same speed, and customers have since requested quick access and speed to this capability... Today, we’re announcing the general availability of a new express configuration for Amazon Aurora PostgreSQL, a stream...
Customers can already create production-ready Amazon DynamoDB tables and Amazon Aurora DSQL databases in seconds... He previewed creating an Amazon Aurora serverless database with the same speed, and customers have since requested quick access and speed to this capability... Today, we’re announcing the general availability of a new express configuration for Amazon Aurora PostgreSQL, a stream...
Unlocking video insights at scale with Amazon Bedrock multimodal models
TutoSartup excerpt from this article:
However, extracting meaningful insights from large volumes of video remains a major challenge... Organizations need solutions that can understand not only what appears in a video, but also the context, narrative, and underlying meaning of the content... In this post, we explore how the multimodal foundation models (FMs) of Amazon Bedrock enable scalable video understanding through three distinct...
However, extracting meaningful insights from large volumes of video remains a major challenge... Organizations need solutions that can understand not only what appears in a video, but also the context, narrative, and underlying meaning of the content... In this post, we explore how the multimodal foundation models (FMs) of Amazon Bedrock enable scalable video understanding through three distinct...
Deploy voice agents with Pipecat and Amazon Bedrock AgentCore Runtime – Part 1
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Deploying intelligent voice agents that maintain natural, human-like conversations requires streaming to users where they are, across web, mobile, and phone channels, even under heavy traffic and unreliable network conditions... Even small delays can break the conversational flow, causing users to perceive the agent as unresponsive or unreliable... In this series of posts, you will learn how str...
Deploying intelligent voice agents that maintain natural, human-like conversations requires streaming to users where they are, across web, mobile, and phone channels, even under heavy traffic and unreliable network conditions... Even small delays can break the conversational flow, causing users to perceive the agent as unresponsive or unreliable... In this series of posts, you will learn how str...
Reinforcement fine-tuning on Amazon Bedrock with OpenAI-Compatible APIs: a technical walkthrough
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In December 2025, we announced the availability of Reinforcement fine-tuning (RFT) on Amazon Bedrock starting with support for Nova models... This was followed by extended support for Open weight models such as OpenAI GPT OSS 20B and Qwen 3 32B in February 2026... This allows the models to learn from feedback on multiple possible responses using a small set of prompts, rather than traditional larg...
In December 2025, we announced the availability of Reinforcement fine-tuning (RFT) on Amazon Bedrock starting with support for Nova models... This was followed by extended support for Open weight models such as OpenAI GPT OSS 20B and Qwen 3 32B in February 2026... This allows the models to learn from feedback on multiple possible responses using a small set of prompts, rather than traditional larg...