Python

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 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.

Deep dive into open source AI, explore the Hugging Face ecosystem, and build an automated image captioning system.

Build a chatbot with long term memory using the OpenAI API & PineCone and use it to answer questions about research papers.

Build a movie recommender system using GPT and learn key techniques to minimize hallucinations and ensure factual answers.

Learn the fundamentals of text embedding and vector databases with Pinecone to build a simple search engine.