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 ...

That's a wrap!If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.Avi 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 ...

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): ...

That's a wrap!If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.Avi Chawla (@_avichawla):How to compress ML models, clearly explained (with code): ...

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]

Check this!!Gemini can do 6 hours of manual data analysis work in just 2 mins.Gemini in Colab lets you plan, analyze, and visualize your data. I used a dataset with 100k rows and didn't write or execute a single line of code.Completely hands-off! https://t.co/kb7YuIvnVO ...