Stories
30
Sources
5
Topics
10
For You lens
21 stories in this edition match your reader profile.
Reader signals
3
Searches
0
Matches
21
Top score
117
Search Intent
machine_learning
This query becomes a recent For You signal, so matching stories can move up on the next personalized pass.
Edition Index
Topic, entity, and source map
Topics
Entities
Lead Story
marimo-team/marimo is trending in AI open source
marimo-team/marimo is a GitHub AI repository with 22,743 stars. A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
AWS Machine Learning Blog / 6:24 PM
Beyond the price per token: Choosing the right OpenAI model on Amazon Bedrock for your workload
Comparing models on dollars per million tokens misses what production workloads actually pay for: outcomes. This post shares an open-source benchmarking harness that measures cost per correct answer, agent trajectory cost, and rubric-graded deliverable quality across OpenAI models on Amazon Bedrock.
MIT News AI / 8:40 PM
MIT Schwarzman College of Computing launches pilot to help educators teach AI across disciplines
A weeklong summer workshop brought higher education faculty to campus to explore how AI and machine learning materials can be adapted for their classrooms.
GitHub Trending AI / 12:33 PM
harvard-edge/cs249r_book is trending in AI open source
harvard-edge/cs249r_book is a GitHub AI repository with 28,198 stars. Machine Learning Systems
The Decoder / 10:38 AM
Hugging Face's new ML Intern lets anyone run machine learning experiments through a simple chat
Hugging Face launched "ML Intern," an AI assistant built into its chatbot that lets users run machine learning experiments without any ML expertise. The article Hugging Face's new ML Intern lets anyone run machine learning experiments through a simple chat appeared first on The Decoder .
arXiv AI/ML / 5:08 PM
arXiv paper: Design Docs Are All You Need: An AI-native Machine-Learning Performance Tool
A new arXiv AI paper by Samuel Kushnir, Kimia Noorbakhsh, and Kavya Sreedhar, and 6 more studies Design Docs Are All You Need: An AI-native Machine-Learning Performance Tool.
MIT News AI / 7:20 PM
Looking beyond natural sequences
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.
arXiv AI/ML / 5:50 PM
arXiv paper: TraceML: An Empirical Analysis of Human-Agent Planning in Machine Learning Development
A new arXiv AI paper by Jiarui Yan, Weiwei Sun, and Sijie Li, and 2 more studies TraceML: An Empirical Analysis of Human-Agent Planning in Machine Learning Development.
AWS Machine Learning Blog / 6:23 PM
Build interactive MCP Apps using Amazon Bedrock AgentCore
Learn how to build and deploy an MCP App with interactive HTML widgets on Amazon Bedrock AgentCore. Because MCP Apps is a host-agnostic standard, the same server delivers the same rich experience across AI hosts like ChatGPT and Claude that support the extension.
AWS Machine Learning Blog / 9:58 PM
Reduce LLM latency with prefix-aware routing on Amazon SageMaker Inference
Amazon SageMaker Inference now offers prefix-aware routing, a routing strategy that sends requests sharing the same prompt prefix to the same instance so the KV cache stays warm. In benchmarks on Llama 3.1 70B, it reduced P50 time-to-first-token by up to 77% and raised KV cache hit rates from about 25% to over 80%.
AWS Machine Learning Blog / 9:37 PM
Reduce inference cold starts on Amazon SageMaker HyperPod with model caching
Amazon SageMaker HyperPod now supports model caching for inference, which pre-loads model weights and container images onto cluster nodes so pods read from local NVMe storage instead of downloading over the network. Learn how model caching cuts cold starts from tens of minutes to seconds, how it works, and how to enable it.
AWS Machine Learning Blog / 9:15 PM
Video and image search in Amazon Bedrock Knowledge Base using Marengo 3.0
TwelveLabs Marengo Embed 3.0 is now generally available as an embedding model in Amazon Bedrock Knowledge Bases, bringing fully managed natural language search to video, image, and audio content. This walkthrough shows how to build a knowledge base powered by Marengo 3.0 and run semantic queries against your media.
AWS Machine Learning Blog / 6:16 PM
Amazon Quick is now generally available on desktop
Your teams get an AI assistant that handles real work while your data stays in your environment and your conversations stay private Today, the Amazon Quick desktop application is generally available on macOS and Windows. We’re also adding a new activity feed to the mobile experience on iOS and Android that consolidates email, calendar, CRM, […]
AWS Machine Learning Blog / 4:02 PM
Model-agnostic PII detection with LLMs
A configurable, model-agnostic detector that turns any large language model on Amazon Bedrock into a PII detector. Because the entities to detect live in a prompt rather than in code, one detector adapts to new entity types without retraining, and it outperforms an off-the-shelf tool across five public corpora and nine LLM-based detectors.
AWS Machine Learning Blog / 3:53 PM
How AvioBook builds turnaround insights from operational data with Amazon Bedrock AgentCore
AvioBook, a Thales Group Company, prototyped Connected Analytics on Amazon Bedrock AgentCore to turn AvioBook Connect's operational data into plain-language, evidence-based answers for airline managers and dispatchers, helping them find and act on the causes of flight turnaround delays.
AWS Machine Learning Blog / 10:06 PM
Take on your most ambitious work with GPT-6 Astra on Amazon Bedrock
GPT-6 Astra from OpenAI is now generally available on Amazon Bedrock. It brings deeper reasoning and sharper judgment to your most demanding tasks, running on the Amazon Bedrock inference engine built for high performance, security, and scale.
AWS Machine Learning Blog / 4:21 PM
Benchmarking small LLM inference on SageMaker AI: G7 vs G5 and G6
Benchmark two 30B Mixture-of-Experts models, Qwen3-Coder-30B and NVIDIA Nemotron-3-Nano-30B, across G5, G6, G6e, and G7 GPU instances on Amazon SageMaker AI. Compare throughput, latency, and cost-per-token, and see how G7's NVIDIA Blackwell GPUs deliver measurable price-performance gains for real-time LLM inference.
AWS Machine Learning Blog / 7:12 PM
Introducing Claude Fable 5.1 on AWS
Claude Fable 5.1 is now available on Amazon Bedrock and Claude Platform on AWS. This post covers Claude Fable 5.1's improvements, the Enterprise Frontier Safeguards for keeping your data in a cloud environment you control, and how to start building with the model on Amazon Bedrock.
AWS Machine Learning Blog / 3:45 PM
How Boomi Scribe streamlines documentation using AWS
Boomi Scribe is an AI-powered agent on AWS that automatically generates documentation for enterprise integration workflows. Learn how Boomi uses Amazon Bedrock, Amazon SageMaker AI, Amazon S3, Amazon DynamoDB, and AWS Lambda to parse integration DAGs, generate detailed documentation, and compare component versions at scale.
AWS Machine Learning Blog / 11:04 PM
Build agentic creative workflows with Amazon Quick and fal
Creative teams produce more assets than ever, but fragmented tools and manual context transfer slow production. This post shows how to build a reusable agent harness with Amazon Quick and fal, connected through the Model Context Protocol (MCP), using two hands-on workflows: an eight-panel storyboard and a music-video concept prototype.
AWS Machine Learning Blog / 4:24 PM
Preparing data for supervised fine-tuning Part 1: Formatting and quality
Data preparation determines the ceiling of any supervised fine-tuning project. This first post in a two-part series covers the foundations of SFT data prep: quality checks, conversational (JSONL) formatting, reasoning and tool-calling schemas, and a representative train/evaluation split.
GitHub Trending AI / 4:34 AM
Lightning-AI/pytorch-lightning is trending in AI open source
Lightning-AI/pytorch-lightning is a GitHub AI repository with 31,340 stars. Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
GitHub Trending AI / 1:41 PM
huggingface/datasets is trending in AI open source
huggingface/datasets is a GitHub AI repository with 21,967 stars. 🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
GitHub Trending AI / 8:36 PM
rasbt/LLMs-from-scratch is trending in AI open source
rasbt/LLMs-from-scratch is a GitHub AI repository with 104,885 stars. Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
AWS Machine Learning Blog / 4:08 PM
Build an end-to-end RFI questionnaire workflow using Amazon Quick Automate
Learn how to build an end-to-end RFI questionnaire workflow with Amazon Quick Automate. Read a multi-tab RFI workbook from Amazon S3, use natural-language prompts to extract and structure the questionnaire data, refine the workflow through conversation, and write clean CSV output back to Amazon S3 — cutting development from days to hours.
AWS Machine Learning Blog / 3:55 PM
Agent Evaluation Metric for multi-turn conversations
Multi-turn agents fail in ways single-turn evaluation misses: one early mistake corrupts every later turn. This post introduces the Agent Evaluation Metric (AEM), a decomposable, turn-level way to measure agent quality, applied to its first dimension, correctness, to pinpoint the turn that caused a failure and separate it from the turns that inherited it.
AWS Machine Learning Blog / 10:26 PM
Deploying Qwen3.8-2.4T-A95B on Amazon SageMaker HyperPod with vLLM
Learn how to deploy Qwen3.8-2.4T-A95B, a 2.4-trillion-parameter open-weight model, on Amazon SageMaker HyperPod with vLLM. This walkthrough covers cluster provisioning, NVFP4 quantization, and an OpenAI-compatible endpoint with built-in reasoning, tool calling, and native MTP speculative decoding.
AWS Machine Learning Blog / 8:01 PM
ICYMI: What landed for AI builders in August 2026
A recap of August 2026 launches for AI builders across Amazon Bedrock, Amazon Bedrock AgentCore, and Strands: million-token context for OpenAI models, cross-Region inference, agents that run for up to 14 days on dedicated compute, expanded AWS GovCloud availability, and Strands Robots for physical deployment.
Latest story in this edition: 5:21 PM
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