codegrokker.bsky.social
@codegrokker.bsky.social
📚 THE PROBLEM

Ever spent hours searching through multiple technical PDFs for one piece of info? Me too!

DocuMind solves this with AI-powered semantic search. Ask questions in natural language, get instant answers with sources.

#LLMZOOMCAMP #RAG
October 20, 2025 at 6:35 AM
🚀 Just completed my #DataTalksClub LLM Zoomcamp project: DocuMind - an end-to-end RAG system for technical documents!

Built with Google Gemini, LangChain, ChromaDB & Streamlit.

Let me share what I learned... 🧵

#LLMZOOMCAMP #BuildInPublic #AI
October 20, 2025 at 6:34 AM
🎓 Built a comprehensive search evaluation system this week! Learned to compare multiple search approaches systematically. Now I can evaluate any search system with confidence! #LLMZOOMCAMP #SearchEvaluation #VectorSearch
July 29, 2025 at 5:06 PM
⚡ Key learning: Different search methods have different strengths! Learned when to use exact text search vs semantic vector search vs scalable vector databases. Context matters! #LLMZOOMCAMP
July 29, 2025 at 5:06 PM
🎯 Explored ROUGE evaluation for text generation quality! Learned how to measure how well generated text matches reference text - crucial skill for building better RAG systems! #LLMZOOMCAMP
July 29, 2025 at 5:05 PM
📈 Discovered cosine similarity as a powerful metric for measuring semantic similarity between texts. Learned how to compare embeddings and understand how well our models preserve meaning! #LLMZOOMCAMP
July 29, 2025 at 5:04 PM
🚀 Got hands-on with Qdrant vector database! Learned how to set up vector collections, create embeddings, and perform semantic search at scale. Vector databases are the future of search! #LLMZOOMCAMP
July 29, 2025 at 5:03 PM
🧠 Explored vector search this week! Learned how TF-IDF + SVD can create powerful embeddings that capture semantic meaning. Vector search vs text search - understanding when each shines! #LLMZOOMCAMP
July 29, 2025 at 5:03 PM
🔍 Week 5 of #LLMZOOMCAMP: Learned how to evaluate search quality! Discovered Hit Rate and MRR metrics - essential tools for measuring how well our search systems perform. 📊
July 29, 2025 at 5:03 PM
📚 Completed the Agents module of #LLMZoomcamp! From basic function descriptions to full MCP implementations. Ready to build AI agents that don't just talk, but actually DO things in the real world! 🎯

Next stop: Production-ready AI agents! 🚀

#LLMZoomcamp #AIAgents #MachineLearning
July 16, 2025 at 5:21 PM
🌐 MCP (Model Context Protocol) is revolutionizing how we build AI tools! Instead of hardcoding functions, agents can now discover and use tools dynamically. It's like having a plugin system for AI! 🔌

#MCP #LLMZoomcamp #AIInnovation
July 16, 2025 at 5:21 PM
💡 Key insight from #LLMZoomcamp: The real power of AI agents isn't in the model itself, but in how well they can interact with external systems. Function calling bridges the gap between AI reasoning and real-world actions!

#AIEngineering #LLMZoomcamp
July 16, 2025 at 5:20 PM
🔧 Built my first MCP server with FastMCP! Creating tools that AI agents can discover and use automatically. The JSON-RPC protocol makes it feel like building microservices for AI.

```python
@mcp.tool
def get_weather(city: str) -> float:
```

#FastMCP #LLMZoomcamp #PythonDev
July 16, 2025 at 5:20 PM
🛠️ Function calling in LLMs is a game-changer! Instead of just generating text, my AI can now:
- Query databases
- Call APIs
- Execute tools
- Return structured data

From chatbot to action-bot! 💪

#OpenAI #FunctionCalling #LLMZoomcamp
July 16, 2025 at 5:19 PM
📡 Discovered Model Context Protocol (MCP) today! It's like creating a universal language for AI agents to communicate with tools. Built a weather agent that can both GET and SET temperature data. Mind = blown! 🌡️☁️
#MCP #LLMZoomcamp #AIAgents
July 16, 2025 at 5:18 PM
🚀 Just completed Module 4 of #LLMZoomcamp! Learned how to build AI agents with function calling - teaching LLMs to interact with external tools and APIs. The future of AI is not just chat, it's intelligent action! 🤖⚡
#AI #MachineLearning #FunctionCalling
July 16, 2025 at 5:18 PM
🎓 Completed the MLOps Zoomcamp project! Built end-to-end ML system with:
✅ Data pipeline
✅ Model training & tracking
✅ API deployment
✅ Monitoring & alerting
✅ Cloud infrastructure

Thanks Datatalksclub for this amazing course!
July 15, 2025 at 8:05 PM
🔄 Set up CI/CD pipeline with GitHub Actions for automated testing and deployment! Every commit triggers: linting → testing → building → deployment.

Automation is the key to reliable ML systems!

#MLOPSZOOMCAMP #CICD #GitHubActions #MLOps
July 15, 2025 at 8:05 PM
🎯 My energy prediction model achieves 15-20% energy savings potential! Applied ML to solve real-world problems: reducing electricity bills and carbon footprint.

Tech for good! 💚

#MLOPSZOOMCAMP #SustainableTech #EnergyEfficiency #MLOps
July 15, 2025 at 8:04 PM
☁️ Deployed my ML model to AWS with complete infrastructure: S3, ECR, ECS, ALB, VPC - all managed with Terraform IaC!

From code to production in the cloud - what a journey!

#MLOPSZOOMCAMP #AWS #CloudMLOps #Infrastructure
July 15, 2025 at 8:04 PM
🧪 Implemented comprehensive testing for my ML pipeline! Unit tests, integration tests, and API tests ensure my model works correctly before deployment.

Testing in ML is not optional - it's essential!

#MLOPSZOOMCAMP #MLTesting #MLOps #QualityAssurance
July 15, 2025 at 8:04 PM
⚡ Built a complete data pipeline that processes 2M+ smart meter readings! From raw data → feature engineering → model training → deployment.

Using Prefect for workflow orchestration made it scalable and maintainable!

#MLOPSZOOMCAMP #DataPipeline #Prefect #MLOps
July 15, 2025 at 8:03 PM
📊 Implemented data drift detection using Evidently! Now my ML model can automatically detect when incoming data patterns change and alert for potential model
retraining needs.

Real-time monitoring = Production-ready ML!

#MLOPSZOOMCAMP #DataDrift #MLOps #Evidently
July 15, 2025 at 8:03 PM
🐳 Containerized my ML model with Docker and deployed it to AWS ECS with Fargate! From local development to production cloud deployment - the power of
infrastructure as code with Terraform!

#MLOPSZOOMCAMP #Docker #AWS #Terraform #MLOps
July 15, 2025 at 8:03 PM
💡 Learned how to implement experiment tracking with MLflow for ML model versioning and hyperparameter optimization. Game-changer for keeping track of model
performance across different experiments!
Production API: smart-energy-alb-795435159.us-east-1.elb.amazonaws.com
#MLOPSZOOMCAMP
July 15, 2025 at 8:02 PM