Eido Askayo

What is Agentic AI?  A simple way to think about Agentic AI is: model + tools = agentic AI.    With  LangChain 1.0 now stable , building them is straightforward.  Let's build a 'Weather Poet' agent that: Uses a web search tool to find a forecast. Write a poem about it.

Quick update on last week's AI news: Google launched Gemini 2.5 Pro Generative AI model, ranked #1 on https://lmarena.ai/ ! 🚀 If you tried the code from my Gemini 2.0 post , there's an easy upgrade: Just 1 line change to try the new leader: Update MODEL from "gemini-2.0-flash-thinking-exp" to: "gemini-2.5-pro-exp-03-25" Experience its enhanced 'thinking', reasoning, and coding power compared to 2.0 Flash. For further information about this model: deepmind.google/models/gemini/pro/

Hands-on showcase to freely use the #1 ranked Generative AI Thinking model: 4 steps, 20 lines of code. 🧠 (Gemini 2.0 Flash Thinking - #1 by lmarena.ai Leaderboard) Code can be copied from attached file. Share your poem with the world in a comment below! 📜🪶👇 For further information about this model:   https://deepmind.google/technologies/gemini/flash-thinking/

Hands-on showcase to run Generative AI on your own PC: 5 steps, 10 lines of code. (And a little extra of about 15GB of RAM and storage 😉 ) Code can be copied from attached file. Share your poem with the world! 📜🪶 For further information about this model: 

The State of Devs 2025 results are in, and it's not just about code. The focus is on the human side of our profession:  Workplace culture, health, and hobbies.  A refreshing and important perspective on the tech industry. Curious to see? 

Dec 3, 2022 What physio-chemical properties give a red wine "good" or "bad" flavor? That's a good question. To answer it, we used Machine Learning Classification and Regression Analysis, on Portuguese "Vinho Verde" red wine's dataset. I was given the privilege to analyze and predict red wine quality, along with Ana Friberg and Khaled Mahmoud , as part of "Machine Learning" course, lectured by Eyal Zinger . Key insights: - In terms of wine's physio-chemically based quality prediction, we gained 79% accuracy (using XGBoost algorithm) - We found that "fixed acidity" and "critical acid" have strong negative correlation on "pH". - We found that "fixed acidity" has linear relationship with "pH" factor. - We found that polynomial model is recommended for making prediction comparisons and error evaluations. ...