angles = np.linspace(0.0, 2.0 * np.pi, n_particles, endpoint=False, dtype=np.float32) px0_np = 0.4 * np.cos(angles).astype(np.float32) py0_np = (0.7 + 0.15 * np.sin(angles)).astype(np.float32) vx0_np = (-0.8 * np.sin(angles)).astype(np.float32) vy0_np = (0.8 * …
workflows
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AI Tools
How to create progress monitoring using async, parallel, pandas, logging, and advanced tqdm for high-performance workflows
print(“5) Concurrency progress: thread_map / process_map”) def cpuish(n: int) -> int: x = 0 for i in range(50_000): x = (x + (n * i)) % 1_000_003 return x nums …
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AI News
Liquid AI has released LocalCoWork powered by LFM2-24B-A2B to execute privacy-first agent workflows locally via Model Context Protocol (MCP).
Liquid AI has been released LFM2-24B-A2BA model optimized for local, low-latency device dispatch local peerAn open-source desktop agent application is available Liquid4All GitHub Cookbook. This release provides a deployable architecture …
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Generative AI
Alibaba Team Open-Sources Copa: A High-Performance Personal Agent Workstation for Developers to Scale Multi-Channel AI Workflows and Memory
As the industry moves from simple Large Language Model (LLM) inference to autonomous agentic systems, the challenge for developers has changed. It’s not just about the models anymore; It’s about …
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Generative AI
Composio open source agent orchestrator will help AI developers build scalable multi-agent workflows beyond traditional React loops
Over the past year, AI developers have relied on the React (Reasoning + Acting) pattern – a simple loop where an AI thinks, chooses a tool, and executes. But as …
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Author(s): neel shah Originally published on Towards AI. As an AI engineer who has spent countless hours modifying retrieval systems and grappling with hallucinations in large language models (LLM), I …
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Generative AI
A coding implementation to set up rigorous accelerated versioning and regression testing workflows for large language models using MLflow
In this tutorial, we show how we treat signals as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline …
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AI News
Google releases Conductor: a context-driven Gemini CLI extension that stores knowledge as Markdown and streamlines agentic workflows
Google has introduced Conductor, an open source preview extension for the Gemini CLI that turns AI code generation into a structured, context driven workflow. Conductor stores product knowledge, technical decisions, …
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AI Tools
AI2 Releases SERA, Soft Verified Coding Agent Built with Supervised Training Only for Practical Repository Level Automation Workflows
Researchers at the Allen Institute for AI (AI2) have introduced SERA, Soft Verified Efficient Repository Agents, as a coding agent family that aims to match very large closed systems using …
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AI Tools
How to build stateless, secure, and asynchronous MCP-style protocols for scalable agent workflows
In this tutorial, we create a clean, advanced demonstration of modern MCP design by focusing on three core ideas: stateless communication, strict SDK-level validation, and asynchronous, long-running operations. We implement …