Data Science & AI Code-Alongs

In this session, we cover the different evaluations that are useful for reducing hallucination and improving retrieval quality of LLMs.

In this code-along session, you will learn how to use Snowpark Python and SQL to perform data analysis in the Snowflake Data Cloud.

In this session, we take a step-by-step approach to fine-tune a Llama 2 model on a custom dataset.

In this webinar, you'll use MLflow to manage a machine learning experiment pipeline. The session will cover model evaluation, hyperparameter tuning, and MLOps strategies, using a London weather dataset.

In this session, you'll use ApertureDB to access the COCO dataset and run image recognition using Python.

In this session, you'll see how to use this tool to combine the text-writing skills of ChatGPT with the power of Python to perform some data analysis and machine-learning workflows.

In this session, you'll learn advanced prompting skills such as using prompt templates, testing the quality of your prompts, and working with images in prompts.

In this webinar, you'll get ideas for incorporating ChatGPT into your workflows and learning the basics of writing good prompts.

In this code along, we delve into the world of data analysis and visualization using PivotCharts and PivotTables on a sales dataset.

In this session you'll learn how to get started with Milvus and perform Q&A on some documents using GPT and the RAG technique.

Deep dive into open source computer vision models with Hugging Face and build an image recognition system from scratch.

Perform a variety of NLP tasks from sentiment analysis to clustering with Hugging Face, and build a bot that generates marketing copy for a fashion retailer.