In this video tutorial, we'll build a stock screener assistant using the Financial Modeling Prep API to retrieve and filter stocks based on the user's input.
In this guide, we'll walk through how to build a ChatGPT Plugin stock screener assistant using the Financial Modeling Prep API.
In this guide, we'll walk through how to build a ChatGPT Plugin news assistant that retrieves AI-related news based on the user's query.
In this guide, we'll look at how to add long term memory with Pinecone to AutoGPT, the experimental GPT-4 project taking the AI world by storm.
In this video tutorial, we'll walk through how to build your first ChatGPT Plugin and create a simple to-do list, including building an API, documenting the API, and creating a manifest file.
In this guide, we'll see how we can get started building ChatGPT plugins and build a simple to-do list plugin.
In this guide, we review several advanced prompt engineering techniques, including chain of shought (CoT) prompting, self consistency, ReAct, and more.
In this guide, we'll discuss what ChatGPT plugins are, possible use cases of plugins, and why many are calling this the "App Store moment of AI".
In this video tutorial, we're walk through a Colab notebook that shows you how to augment GPT-4 with a separate body of knowledge to create a custom AI assistant.
In this guide, we're going to augment GPT-4 with a separate body of knowledge and use a vector database to create a custom AI assistant.
In this guide, we'll discuss several prompt engineering techniques and best practices to improve GPT-3 and GPT-4 responses and reliability.
There's never a dull moment in AI, and today is no exception with OpenAI's release of GPT-4. In this article, we'll review the key concepts and capabilities of GPT-4.
In this guide, we'll discuss prompt engineering, which involves the skillful design or input prompts to large language models (LLMs) to improve their performance.
In this video tutorial, we'll discuss how you can use GPT-3, LangChain, and Pinecone to create an AI research assistant.
In this guide, we'll see how we can use LangChain and Pinecone to build a GPT-3 enabled research assistant that is trained on 50+ machine learning papers.
In this video tutorial, we'll discuss how to use LangChain and the OpenAI Embeddings in order to upload unstructured documents and be able to ask questions about the document using GPT-3
In this guide, we look at how to build a GPT-3 enabled document assistant using OpenAI and LangChain.
In this video tutorial, we'll walk through how to get started with a powerful library for building more advanced LLM-enabled applications: LangChain.
In this prompt engineering guide, we'll discuss how to get started with a powerful library for building more complex LLM applications: LangChain.
In this video tutorial we'll walk through how to get started with the ChatGPT API, including how to make your first API request, best practices, and more.
In this article, we'll discuss how to get started with the ChatGPT API, including migrating from previous models, best practices, and more.
In this video tutorial, we'll be creating a simple web app using Streamlit that allows users to upload a PDF, input a YouTube video, or retrieve an earnings call transcript, and compute the embeddings of the document or video.
In this video tutorial, we'll walk through how to create an earnings call assistant using OpenAI Embeddings and Completions API.
In this video tutorial, we'll walk through a Colab notebook on how to use Whisper and GPT-3 to build a YouTube assistant that can transcribe videos and allow users to ask questions about them.
In this video tutorial, we'll walk through a Colab notebook that shows you how to upload a PDF document and create a factual Q&A assistant based on the text using GPT-3.
