New hands-on tutorial on The Main Thread 🚀
I built a real-time emotion detector in Java using #Quarkus, #JavaCV, #WebSocketsNext, and #LangChain4j.
The pipeline streams webcam frames → detects faces locally → sends only the cropped face to a multimodal LLM (GPT-4o/Gemini) for emotion classification.
High-throughput + low latency = fun and surprisingly practical.
👉 https://www.the-main-thread.com/p/real-time-emotion-detection-quarkus-langchain4j-webcam
🤖 MLOps: The Missing Link in Your Machine Learning Strategy 🔗
MLOps bridges the gap between data science and engineering, creating sustainable ML systems that actually work in the real world.
A proper MLOps workflow includes:
🔄 Automated data ingestion
🧪 Continuous model training
📊 Performance monitoring
🚨 Drift detection
🚀 Seamless redeployment
👀 https://link.illustris.org/mlopscode2prod
#MachineLearning #MLOps #DataScience #AIEngineering #ModelDeployment #DataDrift #AIPipelines
Today Juan Luis Cano Rodríguez from QuantumBlack, AI by McKinsey will give a workshop at PyData Global titled "Who needs ChatGPT? Rock solid AI pipelines with Hugging Face and Kedro" in which attendees will learn how to create a complex AI pipeline using Hugging Face transformers and turn it into a Kedro project that cleanly separates code from configuration and data.
Tune in at 16:00 UTC! https://global2023.pydata.org/cfp/talk/NFZDPN/
#python #pydata #pydataglobal #pydataglobal2023 #kedro #huggingface #aipipelines
