emmuzoo.bsky.social
@emmuzoo.bsky.social
I've completed the review of the third MLOPS Zoomcamp project organized by DataTalksClub. This project is quite interesting and comprehensive as it utilizes several technologies such as MLflow and Airflow, in addition to deploying the model on the cloud provider AWS.

#MLOpsZoomcamp #DataTalksClub
August 11, 2025 at 6:09 PM
I've started reviewing the third MLOPS Zoomcamp project organized by DataTalksClub. This project focuses on trip prediction using the NYC taxi dataset.

#MLOpsZoomcamp #DataTalksClub
August 11, 2025 at 6:08 PM
I've completed the review of the second MLOPS ZoomCamp project organized by DataTalksClub. This project is quite interesting and comprehensive as it uses several technologies such as mlflow, prefect, optuna, and fastapi.

#MLOpsZoomcamp #DataTalksClub
August 10, 2025 at 10:24 PM
I've started reviewing the second MLOPS Zoomcamp project organized by DataTalksClub. This project focuses on predicting Eurovision results based on the song's characteristics, the country's context, and the characteristics of the competition.

#MLOpsZoomcamp #DataTalksClub
August 10, 2025 at 10:24 PM
I've completed the review of the third MLOPS Zoomcamp project organized by DataTalksClub. Unfortunately, the project repository was empty, and I wasn't able to award any points to the author.

#MLOpsZoomcamp #DataTalksClub
August 9, 2025 at 10:09 PM
I have started reviewing the third MLOPS Zoomcamp project organized by DataTalksClub.

#MLOpsZoomcamp #DataTalksClub
August 9, 2025 at 10:08 PM
🧪 Phase 7: Integration Testing
Wrapping up with integration tests to ensure everything works smoothly. Time to verify that all pipelines (training, deployment, and monitoring) integrate well together. #MLOpsZoomcamp #DataTalksClub
August 4, 2025 at 10:31 PM
📊 Phase 6: Monitoring with Evidently & Grafana
Setting up the monitoring pipeline to detect data and model drift using Evidently 🚨. Visualizing performance metrics with Grafana in real time for better model monitoring. #MLOpsZoomcamp #DataTalksClub
August 4, 2025 at 10:31 PM
🚀 Phase 5: Deployment Pipeline
Creating the deployment pipeline! The optimized model is now in production, and I’m using BentoML to serve the model as an API. Time to make it scalable in Docker 🐳. #MLOpsZoomcamp #DataTalksClub
August 4, 2025 at 10:31 PM
⚙️ Phase 4: Training Pipeline
Building and fine-tuning the training pipeline for my optimized model 🏆. It's been registered in MLflow and ready for promotion to production! Let’s get this model ready for deployment! #MLOpsZoomcamp #DataTalksClub
August 4, 2025 at 10:30 PM
🛠️ Phase 3: Stack Configuration
Setting up the tech stack for my project using Docker-Compose, ZenML, MLflow, Optuna, and more! Time to integrate tools for optimal MLOps workflow 🚀. #MLOpsZoomcamp #DataTalksClub
August 4, 2025 at 10:30 PM
🔧 Phase 2: Feature Engineering & Model Training
Moving forward with feature engineering and model training! Using XGBoost for predictions of bike trips 🚴‍♂️. Now it's time to dive into Hyperparameter Optimization (HPO) with Optuna for the best model performance. #MLOpsZoomcamp #DataTalksClub
August 4, 2025 at 10:30 PM
🌍 Phase 1: Data Analysis & EDA
Kicking off my #MLOps project by analyzing the raw CitiBike and weather data from NYC 🌦️. Exploring the dataset, cleaning it, and combining the information to build a powerful prediction model for bike trips every hour. #MLOpsZoomcamp #DataTalksClub
August 4, 2025 at 10:30 PM
Task time: Evaluating a dataset using hit rate and MRR 📊, while testing out Minsearch and Qdrant for performance. 🏃‍♂️ Let’s see how well these models retrieve relevant info! #LLMZoomcamp #DataTalksClub
July 28, 2025 at 10:27 PM
Now experimenting with Qdrant for vector search! 🔍 It's amazing how we can store and retrieve embeddings efficiently. ⚡ Time to compare different approaches and see how they stack up! #LLMZoomcamp #DataTalksClub
July 28, 2025 at 10:27 PM
Diving into key evaluation metrics like hit rate and MRR 📈. They’re essential to assess how well our LLMs are performing in real-world tasks. 🧳 Time to understand what metrics really matter! #LLMZoomcamp #DataTalksClub
July 28, 2025 at 10:27 PM
Just started the evaluation module in the #LLMZoomcamp! 🎯 Why is evaluation so critical in building and improving LLMs? 🧠 Excited to explore how metrics and benchmarks guide the performance of language models. 📊 #DataTalksClub
July 28, 2025 at 10:27 PM
Connected to the FastMCP server via console + Python client.
Listed tools ✅ Got Berlin's weather ✅ All through JSON-RPC.
Agents are not just cool—they're powerful.

#LLMZoomcamp #DataTalksClub
July 15, 2025 at 10:23 AM
Spinning up a local weather_server using FastMCP ☁️
Used @mcp.tool to expose weather functions over JSON-RPC.
LLMs now talk to servers like pros!

#LLMZoomcamp #DataTalksClub
July 15, 2025 at 10:23 AM
Function calling in action!
I built get_weather and set_weather functions to make my LLM assistant interactive and state-aware 🌦️
Loving how Pydantic + OpenAI tools make this so clean.

#LLMZoomcamp #DataTalksClub
July 15, 2025 at 10:22 AM
Just kicked off the Agents module in the #LLMZoomcamp by @DataTalksClub!
Covered the essentials: RAG vs Agents, agentic workflows, and OpenAI function calling.
Time to move beyond prompts and into reasoning!

#DataTalksClub #LLMZoomcamp
July 15, 2025 at 10:22 AM
Just finished the #LLMZoomcamp workshop! 🎉 The hands-on session with Qdrant and DLT was incredibly insightful. Looking forward to applying this knowledge to optimize my data pipelines and LLM tasks. 🚀 #LLMZoomcamp #DataTalksClub
July 13, 2025 at 11:44 PM
Hands-on time! 💻 Working with the DLT pipeline to push API data into Qdrant. The integration is smoother than expected, and I can already see how this will optimize vector searches. 🔍 #LLMZoomcamp #DataTalksClub
July 13, 2025 at 11:43 PM
Starting off the #LLMZoomcamp workshop hosted by @DataTalksClub! 🌟 Today’s focus: bringing API data into Qdrant using DLT pipelines. Can’t wait to explore how it’ll improve vector searches and storage! 🚀 #LLMZoomcamp #DataTalksClub"
July 13, 2025 at 11:43 PM
Final step: stored embeddings in Qdrant and ran semantic queries!
Used BAAI/bge-small-en with fastembed and retrieved top-ranked docs based on similarity. Vector search in action! 💥
#LLMZoomcamp #DataTalksClub
June 30, 2025 at 4:09 PM