InfoQ Homepage Generative AI Content on InfoQ
-
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.
-
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.
-
Wix Adds Chaos to CI/CD Pipelines with AI and Improves Reliability
Cloud-based web development service Wix has written about a new approach to integrating artificial intelligence into continuous integration and continuous deployment (CI/CD) systems. In a blog post, Wix demonstrates how probabilistic AI can coexist with deterministic development processes, adding chaos without compromising reliability.
-
Azure AI Foundry Agent Service Gains Model Context Protocol Support in Preview
Microsoft's Azure AI Foundry Service now supports the Model Context Protocol (MCP), revolutionizing AI agent integration. This streamlined approach eliminates cumbersome custom coding, allowing seamless connection to data sources and workflows. With enterprise-grade security, developers can effortlessly enhance agent capabilities, ushering in a new era of interoperability and efficiency in AI.
-
Researchers Attempt to Uncover the Origins of Creativity in Diffusion Models
In a recent paper, Stanford researchers Mason Kamb and Surya Ganguli proposed a mechanism that could underlie the creativity of diffusion models. The mathematical model they developed suggests that this creativity is a deterministic consequence of how those models use the denoising process to generate images.
-
Logz.io and Dynatrace Innovations Shift Observability into the AI Age
Major observability platform providers are integrating artificial intelligence into their monitoring systems, as enterprises look to their suppliers to reduce the manual work involved in keeping an eye on digital infrastructure. Companies have implemented AI-driven features designed to automate routine operational tasks and accelerate incident resolution processes.
-
Midjourney Debuts V1 AI Video Model
Midjourney has launched its first video generation V1 model, a web-based tool that allows users to animate still images into 5-second video clips.
-
Agentica Project's Open Source DeepCoder Model Outperforms OpenAI's O1 on Coding Benchmarks
The Agentica Project and Together AI have released DeepCoder-14B-Preview, an open source AI coding model based on Deepseek-R1-Distilled-Qwen-14B. The model achieves a 60.6% pass rate on LiveCodeBench, outperforming OpenAI's o1 model and matching the performance of o3-mini.
-
Amazon Open Sources Strands Agents SDK for Building AI Agents
Amazon has released Strands Agents, an open source SDK that simplifies AI agent development through a model-driven approach. The framework enables developers to build agents by defining prompts and tool lists with minimal code.
-
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.
-
Meta Announces API and Protection Tools at First LlamaCon Event
At Meta's first-ever LlamaCon event, the company announced several new tools for building with their Llama AI models: a limited preview of the Llama API that allows developers to experiment with different models, and new Llama Protection Tools for securing AI applications.
-
DeepSeek Launches Prover-V2 Open-Source LLM for Formal Math Proofs
DeepSeek has released DeepSeek-Prover-V2, a new open-source large language model specifically designed for formal theorem proving in Lean 4. The model builds on a recursive theorem proving pipeline powered by the company's DeepSeek-V3 foundation model.
-
OpenAI Launches BrowseComp to Benchmark AI Agents' Web Search and Deep Research Skills
OpenAI has released BrowseComp, a new benchmark designed to test AI agents' ability to locate difficult-to-find information on the web. The benchmark contains 1,266 challenging problems that require agents to persistently navigate through multiple websites to retrieve entangled information.
-
Scaling Financial Operations: Uber’s GenAI-Powered Approach to Invoice Automation
Uber recently described a GenAI-powered invoice processing system that reduced manual effort by 2x, cut handling time by 70%, and delivered 25–30% cost savings. By leveraging GPT-4 and a modular platform called TextSense, Uber improved data accuracy by 90%, enabling globally scalable, efficient, and highly automated financial operations.
-
Google's Gemma 3 QAT Language Models Can Run Locally on Consumer-Grade GPUs
Google released the Gemma 3 QAT family, quantized versions of their open-weight Gemma 3 language models. The models use Quantization-Aware Training (QAT) to maintain high accuracy when the weights are quantized from 16 to 4 bits.