ai/ml - Robotic Content

Powering the next generation of agents with Google Cloud databases

by AI Generated Robotic ContentFAANG February 19, 2026Comments are Disabled

For developers building AI applications, including custom agents and chatbots, the open-source Model Context Protocol (MCP) standard enables your innovations to access data and tools consistently and securely. At the end of 2025, we introduced managed and remote MCP support for services like Google Maps and BigQuery, establishing a standard method for AI to connect …

Models That Prove Their Own Correctness

by AI Generated Robotic ContentFAANG February 18, 2026Comments are Disabled

How can we trust the correctness of a learned model on a particular input of interest? Model accuracy is typically measured on average over a distribution of inputs, giving no guarantee for any fixed input. This paper proposes a theoretically-founded solution to this problem: to train Self-Proving models that prove the correctness of their output …

Asynchronous Verified Semantic Caching for Tiered LLM Architectures

by AI Generated Robotic ContentFAANG February 17, 2026Comments are Disabled

Large language models (LLMs) now sit in the critical path of search, assistance, and agentic workflows, making semantic caching essential for reducing inference cost and latency. Production deployments typically use a tiered static-dynamic design: a static cache of curated, offline vetted responses mined from logs, backed by a dynamic cache populated online. In practice, both …

A Small-Scale System for Autoregressive Program Synthesis Enabling Controlled Experimentation

by AI Generated Robotic ContentFAANG February 14, 2026Comments are Disabled

What research can be pursued with small models trained to complete true programs? Typically, researchers study program synthesis via large language models (LLMs) which introduce issues such as knowing what is in or out of distribution, understanding fine-tuning effects, understanding the effects of tokenization, and higher demand on compute and storage to carry out experiments. …

Scaling LLM Post-Training at Netflix

by AI Generated Robotic ContentFAANG February 14, 2026Comments are Disabled

Baolin Li, Lingyi Liu, Binh Tang, Shaojing Li Introduction Pre-training gives Large Language Models (LLMs) broad linguistic ability and general world knowledge, but post-training is the phase that actually aligns them to concrete intents, domain constraints, and the reliability requirements of production environments. At Netflix, we are exploring how LLMs can enable new member experiences across …

Customize AI agent browsing with proxies, profiles, and extensions in Amazon Bedrock AgentCore Browser

by AI Generated Robotic ContentFAANG February 14, 2026Comments are Disabled

AI agents that browse the web need more than basic page navigation. Our customers tell us they need agents that maintain session state across interactions, route traffic through corporate proxy infrastructure, and run with custom browser configurations. AgentCore Browser provides a secure, isolated browser environment for your agents to interact with web applications. Until now, …

Mapping the Design Space of User Experience for Computer Use Agents

by AI Generated Robotic ContentFAANG February 13, 2026Comments are Disabled

Large language model (LLM)-based computer use agents execute user commands by interacting with available UI elements, but little is known about how users want to interact with these agents or what design factors matter for their user experience (UX). We conducted a two-phase study to map the UX design space for computer use agents. In …

Introducing PFCS Forward

by AI Generated Robotic ContentFAANG February 13, 2026Comments are Disabled

Introducing PFCS Forward: Extending IL5/IL6 Authorization from Cloud to Edge Integrated systems that solve meaningful problems for commanders and their warfighting requirements are essential, according to Lieutenant General Paul T. Stanton, Director of DISA and Commander of DoD Cyber Defense Command, at DISA’s Forecast to Industry 2025 (December 8, 2025) Hardware-Agnostic Accreditation Brings IL5 and IL6 Authorization …

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Automating RDS Postgres to Aurora Postgres Migration

by AI Generated Robotic ContentFAANG February 13, 2026Comments are Disabled

Ram Srivasta Kannan, Wale Akintayo, Jay Bharadwaj, John Crimmins, Shengwei Wang, Zhitao Zhu Introduction In 2024, the Online Data Stores team at Netflix conducted a comprehensive review of the relational database technologies used across the company. This evaluation examined functionality, performance, and total cost of ownership across our database ecosystem. Based on this analysis, we decided …

AI meets HR: Transforming talent acquisition with Amazon Bedrock

by AI Generated Robotic ContentFAANG February 13, 2026Comments are Disabled

Organizations face significant challenges in making their recruitment processes more efficient while maintaining fair hiring practices. By using AI to transform their recruitment and talent acquisition processes, organizations can overcome these challenges. AWS offers a suite of AI services that can be used to significantly enhance the efficiency, effectiveness, and fairness of hiring practices. With …