Tutorials ========= MNIST Digit Classification -------------------------- Load the MNIST image dataset and use a simple deep learning model to run classification on each image. Evaluate the model's performance with simple aggregations. `Run this tutorial on Google Colab `__ Running LLMs on the Red Pajamas Dataset --------------------------------------- Load the Red Pajamas dataset and perform similarity search on Stack Exchange questions using language models and embeddings. `Run this tutorial on Google Colab `__ Querying Images with UDFs ------------------------- Query the Open Images dataset to retrieve the top N "reddest" images. This tutorial uses common open-source tools such as numpy and Pillow inside Daft UDFs to execute this query. `Run this tutorial on Google Colab `__ Image generation on GPUs ------------------------ Generate images from text prompts using a deep learning model (Mini DALL-E) and Daft UDFs. Run Daft UDFs on GPUs for more efficient resource allocation. `Run this tutorial on Google Colab `__ .. Other ideas: .. Scaling up in the cloud with Ray **[Coming Soon]** .. Building a HTTP service **[Coming Soon]** .. Interacting with external services to build a data annotation pipeline **[Coming Soon]** .. Data preparation for ML model training **[Coming Soon]**