Modern AI systems are being deployed in complex domains such as medicine, science, and law, where there is often not a single correct answer given the observed evidence. Such systems must be able to represent and update uncertain beliefs about the world as new evidence arrives to make rational decisions. We introduce the novel technique …
By Emma Yanyang Kong, Aditya Deshpande, Asad Abbasi, Bowei Yan, David Fagnan, Ashish Rastogi, Dhaval Patel, Ray Zhang Introduction The Netflix experience is a journey of discovery. Every visual cue, from the artwork on a title to the video previews that autoplay while you browse, is there to connect you with a story you will love. …
Read more “MAPS: Netflix’s Multimodal Asset Personalization at Scale”
Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models. It provides low-latency online serving for real-time inference, an offline store for historical retention and training feature data, and supports both streaming and batch ingestion patterns. As ML platforms mature, two operational gaps surface …
Read more “Batch write and discover records in Amazon SageMaker Feature Store”
The unexpected interruption came hours before the president wrote a congratulatory post on Truth Social about the company’s most recent earnings report.
Arco Bast studies how neurons communicate. Earlier this year, the Janelia postdoc encountered a more mechanical version of the same problem: The components of his custom microscope could not easily communicate with one another.
Designing effective reward signals for open-domain question answering is challenging because high-quality responses must simultaneously satisfy multiple aspects of answer quality that are difficult to capture with a holistic scalar objective. We introduce a rubric-based reward framework that generates query-specific rubrics grounded in retrieved evidence and decomposed into multiple quality dimensions, providing fine-grained supervision during …
Read more “From Preferences to Principles: Rubric-Based Alignment for Grounded Knowledge Answers”
Creative teams face growing demand for more assets, formats, and revisions, while their scripts, references, models, and outputs often remain fragmented across tools. Creators must repeatedly transfer context and assemble results manually. With 78% of creative leaders saying demand exceeds their teams’ capacity, faster generation alone does not solve the underlying workflow problem. To address …
Read more “Build agentic creative workflows with Amazon Quick and fal”
When Pythian rolled out Google Cloud’s Gemini Enterprise across our 500-person company in 27 countries, the goal was simple: use our own company as a proving ground to discover how enterprise AI actually delivers ROI. What we found changed our strategy entirely. Since the rollout of Gemini Enterprise and our previous enterprise AI deployments, Pythian …
Read more “Reimagining work: How Pythian’s internal AI playbook delivers customer ROI”
Presented by Gravitee Agent complexity is the insidious shadow lurking inside enterprises right now that needs a light shone on it. That’s because enterprises don’t deploy a single agent and watch it run, they deploy fleets, each one calling APIs, calling other agents, reaching into applications that were never built with a machine decision-maker in …
Read more “Enterprise AI’s real risk isn’t autonomous agents. It’s the complexity between them.”
Grand Theft Auto VI is nigh. Here’s what the developer revealed about its highly anticipated game.