Langchain can work with different models and provides a single standardized interface to use different LLM providers like OpenAI, Cohere, Hugging Face, etc.
In this video we’ll learn how to use OpenAI’s new GPT-4 api to ‘chat’ with and analyze multiple PDF files. In this case, I use three 10-k annual reports for Tesla (~1000 PDF pages)
Selectively choose your data sources and feed that information into ChatGPT conversation with your data with ease
Handling Large Datasets One of the biggest challenges in training AI models is dealing with large datasets. When working with a dataset that’s too large to fit into memory, you’ll need to use techniques such as batch loading and data shuffling to efficiently load and process the data during training. OpenAI’s API provides a range of tools and resources for handling large datasets
You can have your very own ChatGPT chatbot built into your website using a free plugin. And it will only take you a matter of minutes to get it up and running.
In this video, we build the backend for a simple semantic search engine using OpenAI Word Embeddings.
Development Guides: Educational Tools from McCabe MediaMichael Shawn McCabe2023-04-23T01:05:32+00:00
