Artificial Intelligence (AI)

In this session, you'll see a full data workflow using some LIGO gravitational wave data (no physics knowledge required). You'll see how to work with HDF5 files, clean and analyze time series data, and visualize the results.

In this session, you'll learn how to create a simple deep learning model using PyTorch Lightning. You'll work through the steps of defining and training the model, making predictions, and evaluating model performance.

Find out how you can spin up a pay-as-you-go instance of OpenAI, and you’ll build a few simple applications that show the power of LLMs and GenAI against your data.

In this session, Nuno, DataCamp's Director of Engineering, demonstrates how to make use of GitHub Copilot. You'll see how to perform a simple data analysis in conjunction with AI, and learn how to make the most of Copilot's features.

In this session, you'll learn how to use the Weaviate vector database to store these different content types, then perform search queries on them.

In this session, you'll learn how to use ChatGPT to perform a data analysis and assemble the results into a data story.

In this code-along, Andrea Valenzuela, Computing Engineer at CERN, and Josep Ferrer Sanchez, Data Scientist at the Catalan Tourist Board, will walk you through building an AI system that can query your documents & data using LangChain & the OpenAI API.

In this code along, you'll learn how to use the OpenAI API and Python to get started fine-tuning GPT3.5.

In this session you'll learn how to get started with Chroma and perform Q&A on some documents using Llama 2, the RAG technique, and LlamaIndex.

In this webinar, you'll learn how to build your own diffuser model from scratch!

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

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