Google released Gemma 4 12B, a multimodal model that runs text, images, and audio on 8GB VRAM! We'll fine-tune it to master chess and predict the exact next move. Tech stack: - @UnslothAI for efficient fine-tuning. - @huggingface transformers to run it locally. Let's go! 🚀

Al vs ML vs DL vs GenAl vs LLM vs Al Agent - What's the Difference? In the evolving Al landscape, it's essential to distinguish between foundational technologies and their specialized branches. This guide provides a clear breakdown: 1. Artificial Intelligence (AI): A broad field focused on designing systems that replicate human intelligence including reasoning, learning, and decision-making. 2. Machine Learning (ML): A subset of Al where systems learn from data patterns and improve over time, enabling predictions and automation without explicit programming. 3. Deep Learning (DL): A specialized area within ML that leverages layered neural networks to process complex data, such as images or natural language. 4. Generative AI (GenAI): An Al approach that creates original outputs text, code, visuals - by learning from existing data structures and patterns. 5. Large Language Models (LLMs): Deep learning models trained on large text corpora, enabling machines to understand and generate human-like language at scale. 6. Al Agents: Autonomous systems powered by LLMs or other models, capable of perceiving, planning, and executing tasks based on defined goals. Each has unique workflows and strengths and knowing where they fit helps businesses and teams build smarter, future-ready systems.

How to learn Claude in 5 days: (this will save you 2 hours a day) ☀️ DAY 1: Set up the basics Goal: Get Claude to give you personalized answers. → Pick your mode (Chat, Code, or Cowork) → Turn on Memory → Write 3–5 lines about your role in Personal Preferences Now Claude knows who it's talking to. ☀️ DAY 2: Build your first project Goal: Stop repeating yourself. → Create a project for one recurring task → Write your instructions once → Upload your reference files Claude now knows your context before you say a word. ☀️ DAY 3: Build your first Skill Goal: Stop re-explaining yourself every single chat. → Go to Settings → Customize → Skills → Click " " and describe a task you repeat often → Upload it — Claude loads it automatically from now on Write it once. Claude runs it every time. ☀️ DAY 4: Connect your tools Goal: Stop copy-pasting between apps. → Connect Gmail, Google Drive, or Slack via Connectors → Let Claude work inside those apps directly No more switching tabs. No more manual handoffs. ☀️ DAY 5: Delegate your work Goal: Set up an automation. → Schedule a recurring task (weekly Slack summary, daily brief) → Let Claude read, work, and deliver — on its own That's not a tool. That's a system. Five days. One setup. Then it runs itself. Do this instead of scrolling: 1. Save this post (you'll come back to it) 2. Start Day 1 today (takes 10 minutes) 3. Run the full 5 days this week Structured. Compounding. No excuses.

Building agentic apps is easy. Making them production-ready is hard. 🛠️ Announcing Genkit Middleware: A composable way to intercept, extend, and harden your agentic apps. ✅ Retries & Fallbacks ✅ Human-in-the-loop approvals ✅ Full observability Now live for TypeScript, Go, and Dart! goo.gle/3PiFnSu

Master the tools to build your own grounded AI companion with the experts who use them every day. Register 💻 → goo.gle/4npl2Hu Join our live AI Learning Labs for a hands-on deep dive into: 🔹 Gemini CLI & Python 🔹 Agent Grounding via Google Search 🔹 MCP Server & Agent ADK 🔹 Custom Avatar generation with Imagen Move past the basics and build a one-of-a-kind interactive agent with real-time support from Google Developer Experts. 📅 May 27-29

#EasyEditor just released and great new features to easily transfer all your #markdown documents from source to target, another example of integration and reduction of context switching.

Complex tasks require more than just a quick response. 🧠 Thinking models bring self-reflection to agents, allowing them to evaluate multiple ideas before delivering a final output. Learn more about agents with GEAR → goo.gle/48Rf2l0

Why Does Git Revert Cause Conflicts & Conflict Resolution

Build for impact. Win from a $200,000 prize pool. 🏆✨ Join the Gemma 4 Good Challenge to create solutions for health, education, global resilience, digital equity, and AI safety. With a $200,000 prize pool and multiple technical tracks, discover how to scale impact using Gemma 4. Submit your project by May 18 → goo.gle/4eOQCfC

With #EasyEditor you are ready to import your #docs into the #techdocs library or for #AI training #EasyEditor will import all the text & tables natively and help you prepare your #markdown document for #backstage , #git or simply to secure it with #sstp

MCP vs Skills

Gemini super app 👀👀 Google is adding a Usage Limits section and a new Images tab to Gemini The screenshot from an unreleased build shows these changes in the sidebar. This points to a shift toward credit based usage instead of fixed quotas plus a dedicated spot for image features and editing Looks like bigger agentic updates and a stronger desktop app are coming probably at I/O

Stop telling Claude: “build this” Stop telling Claude: “write code” Stop telling Claude: “fix this bug” You’re using a staff-level AI like a junior intern. Claude performs best when you give: • role • constraints • architecture expectations • output format • real-world context Here are 10 production-grade prompts you can copy-paste 🧵👇

After a couple of years neglected I have finally improved the Web UI and #CLI support this weekend focusing on data cashing to reduce #carbon footprint through ongoing #AI queries. The primary goal of #SCMD-CLI is to change this paradigm. We believe developers shouldn't have to sacrifice our planet to write great code. By building a lightning-fast, dependency-free binary in #Go, we deliver all the advanced agentic features you expect from a modern CLI AI Assistant, but with a drastically smaller environmental impact. Try it out github.com/gcclinux/scmd

Gemini 3.5 Pro is going to be insane Google created a new DeepMind strike team led by Sergey Brin to improve coding models They are training it directly on their internal codebase to handle complex long term engineering tasks If they fix the coding then they will surpass GPT 5.4 and Opus 4.7 in coding for sure I hope they will announce their new coding model in Google I/O 2026 Google's comeback in coding is going to hit hard

Just finished a fun side project! 🚀 Managed to build this multi-city #weather widget in just 2 hours—from initial idea to a working solution using Google #Antigravity. ☁️ Totally unrelated to #Easyeditor or #EasyNotes or #EasyAI, just a quick fun build over the weekend! Check it out on GitHub: github.com/gcclinux/WeatherW… Should I add a dark mode or stick with this clean aesthetic for the next update?

If you're learning AI with Python, start here

Exciting news, this new version of #easyeditor has a new cloud provider #Box available in #easynotes , images preview directly from #git repo and additionally but not last few new templates for #jira and #Katex. Check it out at easyeditor.co.uk

Already working on 1.7.3 with new templates, cleaner formatting, new cloud integration. Follow for more in roadmap and upcoming features at easyeditor.co.uk/#roadmap