rudra @ghost_variable
learner Bengaluru, India Joined April 2017-
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N8N FULL COURSE 5 HOURS (Build & Automate Anything) P.S. Want 1,000+ FREE N8N Templates? Link below š
Another great project playlist š 30+ NLP Projects. The playlist contains almost all famous as well as underrated projects On NLP. Like sentiment Analysis, Recommender system, MCQ generator etc. Link in comments šš
š š ļø GenAI Use Cases A comprehensive RAG pipeline repository for internal documentation processing, featuring multiple LLM support, ChromaDB integration, and both notebook/production implementations using LangChain. Check out this practical guide š github.com/rguthaa/genai-ā¦
If youāre serious about learning agentic AI, hereās a pathway Iāve found highly effective: Iāve been diving deeper into how to build multi-agent systems. A lot of courses out there are shallow in coverage. To build real AI agents, you need more than just tool usage or promptā¦
Fuck prompt engineering. It doesn't make any fucking sense. The context is what really deserves to be "engineered". Karpathy calls it the "delicate art and science of filling the context window with just the right information". Here are 5 of the best resources i found onā¦
Text2SQL + RAG over docs, hybrid agentic workflow:
Text2SQL + RAG over docs, hybrid agentic workflow: https://t.co/GtOUYFurX0
You're in a backend interview. They ask: "Design a secure logout flow for both single-device and all-devices sign-out." Hereās how to handle it:
Imagine building a system that scales effortlessly, never crashes, and handles millions of users seamlessly. Sounds impossible? Itās not - itās system design. Every high-performing system follows a set of essential principles that make it secure, scalable, and resilient. Letāsā¦
"Computer Vision from Scratch" Very good lecture series, fully taught by PhD from MIT. YouTube channel name - Vizuara Link in comment š
Anyone can build useful AI Agents. But it requires having a solid framework to design and improve AI agents. That's what I'll teach in my new training on Building Effective AI Agents. Topics include context engineering, augmenting AI agents, multi-agent systems, and more.
transformers for everyone, if you can read english let this be your introduction to deep learning, you will not regret this!!!
Anthropic literally showed how to control LLM personalities. They can inject Persona Vectors to make models adopt specific traits or prevent unwanted behaviors. Like a vaccine for AI - inject evil to prevent the model from becoming evil.
Here is what the inside of an AI Agent looks like: Three core components: 1. Planner - Takes care of breaking down a task into individual steps. It's capable of taking feedback about the plan and generating a new version of it. 2. Evaluator - Takes care of evaluating a planā¦
Text2SQL + RAG, hybrid agentic workflow, powered by Qwen3:
Text2SQL + RAG, hybrid agentic workflow, powered by Qwen3: https://t.co/y47lft9LOx
System Design Basics - How Proxies Work buff.ly/SYDIgCS
Uploading large files to S3 using traditional single-request methods can be pretty challenging. Network interruptions can happen, wasting bandwidth and time, and it gets pretty unreliable as files get bigger. Here, Chisom teaches you how to upload large objects to S3 with AWSā¦
Top 5 courses to Learn D3.js 1. Data visualization in D3.js : bit.ly/3QPxn7u 2.Programming with D3.js : bit.ly/3HScCnr 3.Learn D3 bit.ly/3nkavQ0 4. Build Data Visualizations : bit.ly/3NhqqZO 5. Getting Started with D3 : bit.ly/3buFcPM
List of best free courses to learn AI Agents in comment.

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