Engr_Pro2

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Engr_Pro2

Engr_Pro2

@engremail

🚀 Machine Learning Engineer|Vertex AI & Data Science NFT Creator|分散型インテリジェンスを推進 🌐

Zurich, Switzerland Katılım Mayıs 2022
7.3K Takip Edilen394 Takipçiler
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NVIDIA AI
NVIDIA AI@NVIDIAAI·
Scalable AI requires more intelligence for every single watt used and every single dollar spent. On the @lexfridman podcast, NVIDIA CEO Jensen Huang explains why extreme co-design is essential for AI efficiency. Watch the full episode now: nvda.ws/4rSxgt6
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Google Cloud
Google Cloud@googlecloud·
5 essential pillars to help move your AI use cases from whiteboard to global scale: 1. Agentic automation 2. Production-grade deployment 3. Proactive intelligence 4. Sovereign infrastructure 5. A secure data foundation A playbook for AI success → goo.gle/4uYMPCi
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Google for Developers
Google for Developers@googledevs·
Improve document parsing accuracy by 15% for financial PDFs. Use LlamaParse and Gemini 3.1 Pro to extract high-quality data from unstructured brokerage statements and complex tables. 📈 Precise reasoning 📂 Structured PDF data ⚡️ Event-driven scaling Dive into the code on GitHub → goo.gle/4dCPjjd
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Engr_Pro2
Engr_Pro2@engremail·
Tech is evolving fast—and so are the highest-paying skills. From AI & Data Science to Cloud, Cybersecurity, and Blockchain, the future belongs to those who learn smart today. Start now. Stay ahead. Build for 2026 and beyond. #TechSkills #AI #DataScience #CloudComputing
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Engr_Pro2
Engr_Pro2@engremail·
Did you follow these steps?🤣🤣🤣
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Python Programming
Python Programming@PythonPr·
Python Cheat Sheet for Beginners 🐍
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DeepLearning.AI
DeepLearning.AI@DeepLearningAI·
📢 New short course in collaboration with @Oracle! Agent Memory: Building Memory-Aware Agents Learn how to design a memory system that lets AI agents store, retrieve, and refine knowledge across sessions. Taught by @RichmondAlake and Nacho Martínez. Enroll now: hubs.la/Q047ljGB0
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Google AI Studio
Google AI Studio@GoogleAIStudio·
vibe coding in AI Studio just got a major upgrade 🚀 • multiplayer: build real-time games & tools • real services: connect live data • persistent builds: close the tab, it keeps working • pro UI: shadcn, Framer Motion & npm support we can't wait to see what you build!
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Engr_Pro2
Engr_Pro2@engremail·
Agent Ai Complete Framwork #grok
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Google Cloud Tech
Google Cloud Tech@GoogleCloudTech·
Here’s a golden opportunity to level up 🌈 Take this course and demonstrate your skills in text generation, image and video analysis for enhanced content creation, and applying function calling techniques within the Gemini API → goo.gle/4uBHald
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Engr_Pro2
Engr_Pro2@engremail·
@GoogleCloudTech Impressive achievement—this certification reflects your strong commitment to continuous learning.
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Colaboratory
Colaboratory@GoogleColab·
🤖 Your favorite AI agents + Colab’s powerful cloud compute. 🤝 Colab's new Open Source MCP Server gives your agents programmatic access to control the entire notebook development lifecycle. Build, run, and visualize—securely in the cloud. Dive into the details and the GitHub repo below 👇
Google for Developers@googledevs

Bringing Google Colab’s secure environment to your AI agents. ☁️🛠️ With the new open-source Colab MCP Server, your agents can now natively write and execute code inside a Colab Notebook. Secure, automated, and ready to go.

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Shraddha Bharuka
Shraddha Bharuka@BharukaShraddha·
AI coding tools just changed again. This one feels different. Most assistants wait for your prompt. Claude Code doesn’t. It works like a small team running beside you. You stop asking for code. You start running workflows. Here’s what stood out 👇 Your entire codebase becomes context Not just one file. It understands: • project structure • dependencies • impact of changes Feels less like AI. More like a teammate who knows your repo. Agents run in parallel You’re not doing one task at a time anymore. You can have: • one agent reading the repo • one writing code • one reviewing changes This isn’t prompting. It’s managing a team. Real tool access via MCP Claude Code connects to tools using MCP (Model Context Protocol). Which means: • access to docs • repos • APIs • external systems The AI stops guessing. It starts using real context. This shift is bigger than it looks. AI is moving from: assistant → operator And that changes how we build software. While testing, I mapped everything into a simple 1-page blueprint: • setup + models • key commands • MCP integrations • parallel agent workflows • RAG + agent patterns Sometimes the fastest way to understand AI… is still pen and paper. We’re not just writing code anymore. We’re designing systems that write code. #AI #Claude #AIAgents #LLM #GenAI #SoftwareEngineering
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LangChain
LangChain@LangChain·
LangChain Announces Enterprise Agentic AI Platform Built with NVIDIA We've partnered with NVIDIA to give enterprise teams a complete, integrated stack for building and running agents in production. LangGraph and Deep Agents plug directly into NVIDIA's tooling. Build agents with the latest Nemotron 3 models deployed with NIM microservices, apply NeMo Guardrails for securing agentic applications, leverage NeMo Agent Toolkit to optimize your agents and monitor with LangSmith Observability. The LangSmith agent engineering platform and NeMo Agent Toolkit together provide comprehensive evaluation across the full agent lifecycle. We're also joining the NVIDIA Nemotron Coalition to help shape the open models that power these agents.
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Matt Dancho (Business Science)
OpenAI, Google, and Anthropic just published guides on: • Prompt engineering • Building agents • AI in business • 601 AI use cases 9 of the best guides you can't miss:
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Engr_Pro2
Engr_Pro2@engremail·
The Evolution of Programmers
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Marina Cina
Marina Cina@cinamarina·
Elon Musk said coding might disappear by the end of this year. Do you agree with that?
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