Presentation: Building GenAI Platform at DoorDash
Swaroop Chitlur and Sidd Kodwani share DoorDash’s journey building an internal GenAI platform. They discuss core architectural bets, transitioning f…
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GKE Pod Snapshots Cut Model Load Times, and Move the Work to Snapshot Lifecycle Management
Google has published benchmarks for GKE Pod snapshots, reporting up to 89% lower startup latency and a 70B model loading in 37 seconds. The feature…
Presentation: Adaptive Recommenders in the Real World: Inference, Evals, and System Design
Mallika Rao explains that the true complexity of adaptive recommendation systems lies outside model architecture. She discusses how real-time feedba…
Apple Reference Image Signs Photos at the Sensor, Moving Provenance Trust Away from C2PA
Apple has published the design of Reference Image, an iPhone 18 Pro camera mode that signs pixel data at the sensor and develops it in Private Cloud…
Article: Beyond Relevance: A Governance-First Architecture for Enterprise Personalization
This article examines the limitations of conventional personalization systems and highlights the need for a governance-first architecture. It emphas…
GPT-6 Astra Is the First Model OpenAI Classifies as Critical for Cybersecurity
OpenAI has classified GPT-6 Astra at the Critical cybersecurity threshold under its Preparedness Framework, a first. In expert-led testing the model…
Presentation: From S3 to GPU in One Copy: Rethinking Data Loading for ML Training
Onur Satici explains how Vortex, an open-source columnar file format under the Linux Foundation, revolutionizes high-throughput data loading. He det…
Swiggy Uses 350+ Features and Multi-Task MLP to Predict Customer Lifetime Value
Swiggy developed an in house predicted lifetime value model using more than 350 pre order features and a multi task MLP for Food and Instamart. Addi…
Presentation: Running AI at the Edge: Running Real Workloads Directly in the Browser
James Hall discusses the strategic and technical imperative of moving AI workloads from cloud providers to local edge devices. He shares practical a…
Presentation: SafeChat: Building AI-Powered Safety Systems at Scale in a Real-Time Marketplace
Bruna Pereira explains how DoorDash built a content-agnostic AI moderation platform. She covers replacing costly LLM-only pipelines with a hybrid pa…
Whatsapp Tests on Device ML for Scam Detection with Privacy Preserving Analytics
WhatsApp is testing Scam Alert in limited beta, using on device machine learning to detect potential scam messages from non contacts. Meta's archite…
Presentation: From Models to Agents: Building Context-Aware Consumer AI at Scale at DoorDash
Sudeep Das shares how DoorDash shifts from legacy one-shot predictions to an agentic recommendation platform. He discusses leveraging language-nativ…
Архитектура LLM-агентов для самых маленьких
Являясь LLM активистом, регулярно обсуждаю всякое про новости\инструменты\тренды в ИИ. И к моему удивлению зачастую люди из IT не понимают базовых в…
Inside Target’s LLM-Based System for Semantic Matching in Marketing Forecast Pipelines
Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical campaigns. Using embeddin…
Article: The Technology Adoption Curve, Twenty Years On
Today, June 8th, InfoQ celebrates 20 years. This is not a comprehensive history, but a deliberately selective look at the technologies and practices…
Uber Improves Restaurant Recommendations Using Real-Time Signals and Listwise Ranking
Uber updates its Uber Eats Home Feed recommendation system using near real-time user sequence features and a Generative Recommender model. The syste…
Agoda Builds Multimodal Content System to Bridge Images and Reviews in Travel Discovery
Agoda Multimodal Content System https://example.com/agoda-multimodal-content-system Agoda unifies hotel images and guest reviews using a shared topi…
Swiggy Improves Search Autocomplete Using Real Time Machine Learning Ranking
Swiggy detailed real-time machine-learning ranking system for autocomplete built on OpenSearch. The architecture separates candidate generation and…
Netflix Introduces ‘Model Lifecycle Graph’ to Scale Enterprise Machine Learning
Netflix has developed a graph-based architecture for managing machine learning systems, called the Model Lifecycle Graph. This system maps interconn…
Confluent Moves Schema IDs to Kafka Headers to Simplify Schema Governance
Confluent introduces a new approach in Apache Kafka that moves schema IDs from message payloads to record headers, aiming to simplify schema governa…