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Engr_Pro2
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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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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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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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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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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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📢 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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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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@GoogleCloudTech Impressive achievement—this certification reflects your strong commitment to continuous learning.
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🤖 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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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 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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