Workspace

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

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.

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.

Combine the power of text and audio AI models to build a bot that answers questions about YouTube videos.

Learn prompt engineering best practices while using ChatGPT to analyze the sentiment of financial news headlines and Reddit comments.