InfoQ Homepage AIOps Content on InfoQ
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Databricks Agent Bricks Automates Enterprise AI Development with TAO and ALHF Methods
Databricks introduced Agent Bricks, a new product that changes how enterprises develop domain-specific agents. The automated workflow includes generating task-specific evaluations and LLM judges for quality assessment, creating synthetic data that resembles customer data to supplement agent learning, and searching across optimization techniques to refine agent performance.
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Amazon Launches Bedrock AgentCore for Enterprise AI Agent Infrastructure
Amazon announced the preview of Amazon Bedrock AgentCore, a collection of enterprise-grade services that help developers deploy and operate AI agents at scale across frameworks and foundation models. The platform addresses infrastructure challenges developers face when building production AI agents.
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OpenAI’s Stargate Project Aims to Build AI Infrastructure in Partner Countries Worldwide
OpenAI has announced a new initiative called "OpenAI for Countries" as part of its Stargate project, aiming to help nations develop AI infrastructure based on democratic principles. This expansion follows the company's initial $500 billion investment plan for AI infrastructure in the United States.
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From Architecture to Deployment: How AI-Powered Toolkits Are Unifying Developer Workflows
Developer tooling is undergoing a shift as AI moves beyond code completion to unify multiple stages of the software development workflow.
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GitLab Introduces GitLab Duo with Amazon Q
The integration of Amazon Q Developer with GitLab, introduced as GitLab Duo with Amazon Q, embeds generative AI capabilities directly into GitLab, enabling developers to receive AI-driven assistance for tasks such as feature development, code upgrades, reviews, and unit testing.
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GitHub Copilot Can Now Run in Windows Terminal
GitHub Copilot's integration into Windows Terminal Canary introduces an AI-driven feature called Terminal Chat, enabling users to receive command suggestions and explanations directly within the terminal environment. This integration is accessible to all GitHub Copilot subscribers, including Individual, Business, and Enterprise users.
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GitLab Launches Support for Self-Hosted AI Platforms
On February 20, 2025, GitLab released version 17.9, which introduced improvements aimed at enhancing user experience and functionality. A highlight of this release is the general availability of GitLab Duo Self-Hosted, enabling organizations to deploy large language models (LLMs) within their infrastructure.
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UC Berkeley's Sky Computing Lab Introduces Model to Reduce AI Language Model Inference Costs
UC Berkeley's Sky Computing Lab has released Sky-T1-32B-Flash, an updated reasoning language model that addresses the common issue of AI overthinking. The model, developed through the NovaSky (Next-generation Open Vision and AI) initiative, "slashes inference costs on challenging questions by up to 57%" while maintaining accuracy across mathematics, coding, science, and general knowledge domains.
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AMD and Johns Hopkins Researchers Develop AI Agent Framework to Automate Scientific Research Process
Researchers from AMD and Johns Hopkins University have developed Agent Laboratory, an artificial intelligence framework that automates core aspects of the scientific research process. The system uses large language models to handle literature reviews, experimentation, and report writing, producing both code repositories and research documentation.
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Amazon Bedrock Introduces Multi-Agent Systems (MAS) with Open Source Framework Integration
Amazon Web Services has released a multi-agent collaboration capability for Amazon Bedrock, introducing a framework for deploying and managing multiple AI agents that collaborate on complex tasks. The system enables specialized agents to work together under a supervisor agent's coordination, addressing challenges developers face with agent orchestration in distributed AI systems.
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Microsoft Research Introduces AIOpsLab: a Framework for AI-Driven Cloud Operations
Microsoft Research unveiled AIOpsLab, an open-source framework designed to advance the development and evaluation of AI agents for cloud operations. The tool provides a standardized and scalable platform to address challenges in fault diagnosis, incident mitigation, and system reliability within complex cloud environments.
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PayPal Adds GenAI Support with LLMs to Its Cosmos.AI MLOps Platform
PayPal extended its MLOps platform Cosmos.AI to support the development of generative AI applications using large language models (LLMs). The company incorporated support for vendor, open-source, and self-tuned LLMs and provided capabilities around retrieval-augmented generation (RAG), semantic caching, prompt management, orchestration, and AI application hosting.
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Uber Creates GenAI Gateway Mirroring OpenAI API to Support over 60 LLM Use Cases
Uber created a unified platform for serving large language models (LLMs) from external vendors and self-hosted ones and opted to mirror OpenAI API to help with internal adoption. GenAI Gateway provides a consistent and efficient interface and serves over 60 distinct LLM use cases across many areas.
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HelixML Announces Helix 1.0 Release
HelixML has announced their Helix platform for Generative AI is production ready at version 1.0. Described as a "Private GenAI Stack," the platform provides an interface layer and applications that can be connected to a variety of LLMs. It can be used to prototype apps, starting with a laptop, with all components version controlled to ease subsequent deployment and scaling.
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Enhanced Protection for Large Language Models (LLMs) against Cyber Threats with Cloudflare for AI
Cloudflare recently announced a new capability called Firewall for AI in its Web Application Firewall (WAF) offering. The capability adds a new layer of protection that will identify abuse and attacks before they reach and tamper with Large Language Models (LLMs).