I just published Classic RAG with HuggingFace, Qdrant and Streamlit

SQLPilot /publications/null-M7syRyVpzAH8 #readytensor.

I just published Handwritten Digit Recognition with Cosine Similarity

Leveraging Tensorflow capabilities for model deployments with Tensorflow Lite in order to keep a light-weight application working on AWS. In #mlzoomcamp I learnt how to train, evaluate and deploy a single fashion model into AWS Lambda.

Now it is time to rigurously train a Convolutional Neural Network using a pre-trained model, Xception gave me a excellent performance, thanks to #mlzoomcamp I could learn how to avoid overfitting, analyze my models and evaluating them properly.

Applying the learnt in #mlzoomcamp for the mid-term project was a great milestone, I could learn not only how to apply ML to my specific problem but how to deploy my model to AWS ElasticBeanstalk.

How importante is to evaluate a ML model? in #mlzoomcamp I learnt different techniques to achieve more accurate predictions and a well-optimized model ready to production.

#mlzoomcamp Such an amazing exercises about LogisticRegression and model interpretation, I successfully completed the submission for the week 3.

One more submission completed in Machine Learning Zoomcamp #mlzoomcamp In this one I could learn more about the foundations of Linear Regression from a linear algebra apporach.

Keeping learning with #mlzoomcamp where I was introduced the first steps with Numpy and Pandas through the intro submission of the course.

Thrilled to have successfully wrapped up #mlopszoomcamp, diving deep into the world of MLOps! 🚀 #LearningInProgress.

Approaching the final project with newfound skills from #mlopszoomcamp! Implementing MLflow for efficient model tracking, Prefect for seamless workflows, and Lambda for real-time streaming. Excited to showcase my expertise and complete the project with confidence! 🚀.

#MLOpsZoomCamp Section 06 = pure joy! Docker & localstack made AWS testing a breeze. Makefiles, unit & integration tests = streamlined workflow & robustness. Feeling empowered & ready for MLOps greatness! 🎉 #MLOps #Docker #Localstack #Makefiles #UnitTests #IntegrationTests.

Just wrapped up Section 05 of the #MLOpsZoomCamp. Learned all about Prefect and Grafana for model monitoring metrics. Excited to apply these tools to enhance performance in my ML projects. Thanks for the incredible learning journey! #Prefect #Grafana #MLOps

🎉 Homework 4 on model deployment with Docker done and dusted. Excited to level up my MLOps skills at #MLOpsZoomCamp. Dockerizing models for seamless deployment is a game-changer! Huge thanks to my instructors for the knowledge boost. Onwards to more efficient model deployments!.

Had an incredible time at #mlopszoomcamp! Just discovered the power of @wandb for tracking my models. 🚀 It's a game-changer!. With @wandb, I can easily log hyperparameters, metrics, and visualizations. If you're into #AI and #MLOps, don't miss out on @wandb! 🎯✨ #mlopszoomcamp

Nice homework, I did not expect the Prefect capabilities regarding scheduling tasks and flows. Furthermore, I got surprised by seeing a report in my email. Thanks #mlopszoomcamp.

Just completing the task 2 for the Machine Learning Zoom Camp. #MLFlow for tracking ML experiments #mlopszoomcamp.

RT @driscollis: #Python Pop Quiz 🐍❓. What is the result when you run this code?. A) Syntax Error.B) 5 .__mul__.C) 30.D) What is this madnes….

Groot as spiderman with cactus in the desert. #PromptEngineering #stablediffusion #ai