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Keep up to date with the latest techniques, tools, and research in artificial intelligence. Our AI code alongs focus on data science, uses, & responsible AI practices.
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Natural Language Interfaces to Software with GPT-4o Function Calling
Richie, a Senior Data Evangelist at DataCamp, shows you how to use the function calling features in the OpenAI API and GPT-4o to create a simple AI assistant that has a natural language interface.
Richie Cotton
2024年7月11日
Creating AI Assistants with GPT-4o
In this code-along, Richie shows you how to use the OpenAI API and GPT-4o to create an AI assistant for data science tasks.
Richie Cotton
2024年6月11日
Deep Learning on Rails with PyTorch Lightning
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.
Luca Antiga
2024年4月9日
Using GPT on Azure
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.
Dave Wentzel
2024年3月12日
Building Multi-Modal Search with Weaviate
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.
JP Hwang
2024年1月31日
Data Storytelling with ChatGPT
In this session, you'll learn how to use ChatGPT to perform a data analysis and assemble the results into a data story.
Joe Franklin
2024年1月16日
Chat with Your Documents Using GPT & LangChain
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.
Andrea Valenzuela
Josep Ferrer
2024年1月9日
Fine-tuning GPT3.5 with 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.
Zoumana Keita
2023年12月22日
Retrieval Augmented Generation with LlamaIndex
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.
Dan Becker
2023年12月13日
Building a Diffuser Model From Scratch with PyTorch
In this webinar, you'll learn how to build your own diffuser model from scratch!
Philip Bontrager
2023年12月6日
Evaluating LLM Responses
In this session, we cover the different evaluations that are useful for reducing hallucination and improving retrieval quality of LLMs.
Josh Reini
2023年11月29日
Fine-Tuning Your Own Llama 2 Model
In this session, we take a step-by-step approach to fine-tune a Llama 2 model on a custom dataset.
Maxime Labonne
2023年11月17日