Using Poetry and Docker to Package Your Model for AWS Lambda An accessible tutorial for one way to put a model into production, with special focus on troubleshooting and hiccups you might encounter along the way I like to think of models
Painting the cosmos of your digital dreams.
Using Poetry and Docker to Package Your Model for AWS Lambda An accessible tutorial for one way to put a model into production, with special focus on troubleshooting and hiccups you might encounter along the way I like to think of models
Application of GANs for data augmentation to adjust an imbalanced dataset Photo by Brett Jordan on Unsplash “Generative Adversarial Nets” (GANs) demonstrated outstanding performance in generating realistic synthetic data which are indistinguishable from the real data in the past. Unfortunately, GANs
A guide on how to make predictions using Google’s latest tool, from fetching data to formatting and so much more Photo by NOAA on Unsplash Weather prediction is a very complex problem to solve. Numerical Weather Predictions (NWP) models, Weather Research and
All you need is a bit of computing power Photo by Izzy Park on Unsplash Did you know that for most common types of things, you don’t necessarily need data anymore to train object detection or even instance segmentation models? Let’s
How to fine-tune a GPT model to generate a TED description-like text Continue reading on Towards Data Science »
A step-by-step guide on how to build one in five easy steps, with code already written for you. Continue reading on Towards Data Science »
Exploring robust RAG development with LlamaPacks, Lighthouz AI, and Llama Guard Continue reading on Towards Data Science »
Methods for creating fine-tuning datasets for text-to-Cypher generation. Created with ChatGPT-DALLE Introduction Cypher is Neo4j’s graph query language. It was inspired and bears similarities with SQL, enabling data retrieval from knowledge graphs. Given the rise of generative AI and the
A comprehensive guide of *args with practical examples Continue reading on Towards Data Science »
How to solve the tension between exploitation and exploration, and making sure you have devoted users that are happy with your visualization tools. Developers of open world video games have a very interesting problem — how to allow and encourage the exploration
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