Python A2A is an implementation of Google’s Agent-to-Agent (A2A) protocol, which enables AI agents to communicate with each other using a shared, standardized format—eliminating the need for custom integration between services. In this tutorial, we’ll use the decorator-based approach provided by the python-a2a library. With simple @agent and @skill decorators, you can define your agent’s The post How to Use python-A2A to Create and Connect Financial Agents with Google’s Agent-to-Agent (A2A) Protocol appeared first on MarkTechPost.

The Challenge of Updating LLM Knowledge LLMs have shown outstanding performance for various tasks through extensive pre-training on vast datasets. However, these models frequently generate outdated or inaccurate information and can reflect biases during deployment, so their knowledge needs to be updated continuously. Traditional fine-tuning methods are expensive and susceptible to catastrophic forgetting. This has The post EPFL Researchers Introduce MEMOIR: A Scalable Framework for Lifelong Model Editing in LLMs appeared first on MarkTechPost.

The Need for Efficient On-Device Language Models Large language models have become integral to AI systems, enabling tasks like multilingual translation, virtual assistance, and automated reasoning through transformer-based architectures. While highly capable, these models are typically large, requiring powerful cloud infrastructure for training and inference. This reliance leads to latency, high costs, and privacy concerns, The post OpenBMB Releases MiniCPM4: Ultra-Efficient Language Models for Edge Devices with Sparse Attention and Fast Inference appeared first on MarkTechPost.

Rethinking Audio-Based Human-Computer Interaction Machines that can respond to human speech with equally expressive and natural audio have become a major goal in intelligent interaction systems. Audio-language modeling extends this vision by combining speech recognition, natural language understanding, and audio generation. Rather than relying on text conversions, models in this space aim to understand and The post StepFun Introduces Step-Audio-AQAA: A Fully End-to-End Audio Language Model for Natural Voice Interaction appeared first on MarkTechPost.

Navigating the dense urban canyons of cities like San Francisco or New York can be a nightmare for GPS systems. The towering skyscrapers block and reflect satellite signals, leading to location errors of tens of meters. For you and me, that might mean a missed turn. But for an autonomous vehicle or a delivery robot, The post EPFL Researchers Unveil FG2 at CVPR: A New AI Model That Slashes Localization Errors by 28% for Autonomous Vehicles in GPS-Denied Environments appeared first on MarkTechPost.