Andrew Ng's team once made a big mistake in a research paper.And it happened due to randomly splitting the data.Here's what happened: ...

First MCP, then A2A and AG-UI......now ACP is added to the Agent protocol stack. It's a fully open-source protocol by IBM.The thread below gives a detailed walkthrough on ACP (with implementation)👇 https://t.co/efc996DTsaAvi Chawla (@_avichawla):After MCP, A2A, & AG-UI, there's another Agent protocol.It's fully open-source and launched by IBM Research.Here's a complete breakdown (with code): https://t.co/GAbnvOGIdU ...

Agent Protocol - IBM Research 发布了一个完全开源的 Agent 协议，继 MCP, A2A, & AG-UI 之后 [1] - 协议的完整分解和代码可以在提供的链接中找到 [1] Resources - 教程和见解涵盖 DS, ML, LLMs, 和 RAGs [1]

Technology & Communication Protocols - ACP facilitates agent communication via a standardized protocol, even with different frameworks [1] - ACP is designed for local-first, low-latency communication [1] - ACP utilizes a RESTful interface for easier integration [1] ACP vs A2A - ACP is suitable for controlled, edge, or team-specific environments [1] - A2A is optimized for web-native, cross-vendor interoperability [1] - A2A supports more flexible, natural interactions [1] - A2A excels in broader cloud-based collaboration [1]

After MCP, A2A, & AG-UI, there's another Agent protocol.It's fully open-source and launched by IBM Research.Here's a complete breakdown (with code): https://t.co/GAbnvOGIdU ...

RT Avi Chawla (@_avichawla)How to compress ML models, clearly explained (with code): ...

Content Focus - The content primarily focuses on sharing tutorials and insights related to Data Science (DS), Machine Learning (ML), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAGs) [1] - The author shares explanations and code related to compressing ML models [1] Social Engagement - The author encourages readers to reshare the content [1] - The author provides their social media handle (@_avichawla) for further engagement [1]

Model Performance - Student model inference run-time significantly increased by 35% compared to the teacher model [1] - The 35% speed increase of the student model only resulted in a 1-2% performance drop [1]

How to compress ML models, clearly explained (with code): ...

Productivity Enhancement - Gemini can complete 6 hours of manual data analysis work in just 2 minutes [1] - Gemini in Colab enables data planning, analysis, and visualization without writing code [1] - The tool processed a dataset with 100 thousand rows hands-off [1]