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Agentic AI, AI Infrastructure, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine Learning, New Releases, Open Source, software-engineering, Staff, Tech News, Technology

Hugging Face Releases TRL v1.0: A Unified Post-Training Stack for SFT, Reward Modeling, DPO, and GRPO Workflows

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Hugging Face has officially released TRL (Transformer Reinforcement Learning) v1.0, marking a pivotal transition for the library from a research-oriented repository to a stable, production-ready framework. For AI professionals and developers, this release codifies the Post-Training pipeline—the essential sequence of Supervised Fine-Tuning (SFT), Reward Modeling, and Alignment—into a unified, standardized API. In the early stages […]

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AI Shorts, Applications, Artificial Intelligence, Editors Pick, New Releases, Staff, Tech News, Technology

Google AI Releases Veo 3.1 Lite: Giving Developers Low Cost High Speed Video Generation via The Gemini API

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Google has announced the release of Veo 3.1 Lite, a new model tier within its generative video portfolio designed to address the primary bottleneck for production-scale deployments: pricing. While the generative video space has seen rapid progress in visual fidelity, the cost per second of generated content has remained high, often prohibitive for developers building […]

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Agentic AI, AI Infrastructure, AI Shorts, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine Learning, New Releases, Open Source, Staff, Tech News, Technology

Liquid AI Released LFM2.5-350M: A Compact 350M Parameter Model Trained on 28T Tokens with Scaled Reinforcement Learning

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In the current landscape of generative AI, the ‘scaling laws’ have generally dictated that more parameters equal more intelligence. However, Liquid AI is challenging this convention with the release of LFM2.5-350M. This model is actually a technical case study in intelligence density with additional pre-training (from 10T to 28T tokens) and large-scale reinforcement learning The […]

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Agentic AI, AI Agents, Editors Pick, Staff, Tutorials

How to Build and Evolve a Custom OpenAI Agent with A-Evolve Using Benchmarks, Skills, Memory, and Workspace Mutations

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In this tutorial, we work directly with the A-Evolve framework in Colab and build a complete evolutionary agent pipeline from the ground up. We set up the repository, configure an OpenAI-powered agent, define a custom benchmark, and build our own evolution engine to see how A-Evolve actually improves an agent through iterative workspace mutations. Through […]

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Agentic AI, AI Shorts, Applications, Artificial Intelligence, Audio Language Model, Editors Pick, Language Model, Large Language Model, Machine Learning, New Releases, OCR, Staff, Tech News, Technology

Alibaba Qwen Team Releases Qwen3.5 Omni: A Native Multimodal Model for Text, Audio, Video, and Realtime Interaction

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The landscape of multimodal large language models (MLLMs) has shifted from experimental ‘wrappers’—where separate vision or audio encoders are stitched onto a text-based backbone—to native, end-to-end ‘omnimodal’ architectures. Alibaba Qwen team latest release, Qwen3.5-Omni, represents a significant milestone in this evolution. Designed as a direct competitor to flagship models like Gemini 3.1 Pro, the Qwen3.5-Omni […]

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Agentic AI, Artificial Intelligence, Editors Pick, Embedding Model, Knowledge Graphs, Language Model, New Releases, Open Source, Staff, Technology

Microsoft AI Releases Harrier-OSS-v1: A New Family of Multilingual Embedding Models Hitting SOTA on Multilingual MTEB v2

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Microsoft has announced the release of Harrier-OSS-v1, a family of three multilingual text embedding models designed to provide high-quality semantic representations across a wide range of languages. The release includes three distinct scales: a 270M parameter model, a 0.6B model, and a 27B model. The Harrier-OSS-v1 models achieved state-of-the-art (SOTA) results on the Multilingual MTEB […]

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Agentic AI, AI Agents, AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Audio Language Model, Editors Pick, Language Model, New Releases, Open Source, Staff, Tech News, Technology, Voice AI

Salesforce AI Research Releases VoiceAgentRAG: A Dual-Agent Memory Router that Cuts Voice RAG Retrieval Latency by 316x

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In the world of voice AI, the difference between a helpful assistant and an awkward interaction is measured in milliseconds. While text-based Retrieval-Augmented Generation (RAG) systems can afford a few seconds of ‘thinking’ time, voice agents must respond within a 200ms budget to maintain a natural conversational flow. Standard production vector database queries typically add […]

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Agentic AI, AI Agents, AI Infrastructure, AI Shorts, Artificial Intelligence, Editors Pick, New Releases, Open Source, Staff, Tech News, Technology

Agent-Infra Releases AIO Sandbox: An All-in-One Runtime for AI Agents with Browser, Shell, Shared Filesystem, and MCP

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In the development of autonomous agents, the technical bottleneck is shifting from model reasoning to the execution environment. While Large Language Models (LLMs) can generate code and multi-step plans, providing a functional and isolated environment for that code to run remains a significant infrastructure challenge. Agent-Infra’s Sandbox, an open-source project, addresses this by providing an […]

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Agentic AI, AI Agents, Editors Pick, Physical AI, robotics, Staff, Tutorials

How to Build Advanced Cybersecurity AI Agents with CAI Using Tools, Guardrails, Handoffs, and Multi-Agent Workflows

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In this tutorial, we build and explore the CAI Cybersecurity AI Framework step by step in Colab using an OpenAI-compatible model. We begin by setting up the environment, securely loading the API key, and creating a base agent. We gradually move into more advanced capabilities such as custom function tools, multi-agent handoffs, agent orchestration, input […]

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Agentic AI, AI Agents, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Machine Learning, New Releases, Open Source, Staff, Tech News, Technology

Meet A-Evolve: The PyTorch Moment For Agentic AI Systems Replacing Manual Tuning With Automated State Mutation And Self-Correction

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A team of researchers associated with Amazon has released A-Evolve, a universal infrastructure designed to automate the development of autonomous AI agents. The framework aims to replace the ‘manual harness engineering’ that currently defines agent development with a systematic, automated evolution process. The project is being described as a potential ‘PyTorch moment’ for agentic AI. […]

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