Getting Started with Auto-GPT: an Autonomous GPT-4 Experiment
In this guide, we'll discuss how to get started with Auto-GPT, the autonomous GPT-4 experiment taking the AI world by storm.
ChatGPT Plugins - Building a To-Do List: MLQ Academy
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.
GPT-4 & Streamlit - Building a Frontend for an AI/ML Tutor: MLQ Academy
In this video tutorial, we'll build a simple frontend for an AI/ML tutor using GPT-4, Streamlit, and Pinecone.
Introduction to Prompt Engineering: Key Concepts & Use Cases
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.
Building a GPT-3 Enabled Research Assistant with LangChain & Pinecone
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.
Building a GPT-3 Enabled Document Assistant with LangChain: MLQ Academy
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
ChatGPT API: Getting Started with OpenAI's New Model
In this article, we'll discuss how to get started with the ChatGPT API, including migrating from previous models, best practices, and more.
OpenAI Whisper + GPT-3: Summarizing YouTube Videos
In this article, we discuss how to combine OpenAI's Whisper and GPT-3 fine tuning in order to summarize a YouTube video.
Elon Musk Interview: OpenAI Whisper + GPT-3 Fine Tuning
This article provides is a summary of the Elon Musk interview at the Ron Baron Conference. To create this summary, we used both OpenAI Whisper and GPT-3 fine tuning.
Fine-Tuning GPT-3: Using Embeddings for Semantic Search, Classification & Regression
In this article, we discuss how to use OpenAI's Embeddings API in order to fine-tune GPT-3 and analyze food reviews from Amazon.
Fine-Tuning GPT-3: Building a Crypto Research Assistant
In this article, we discuss how to fine-tune GPT-3 to be a crypto research assistant by training it to answer factually based on an additional body of knowledge.
Fine-Tuning GPT-3: Building an IPO Research Assistant
In this article, we fine-tuned GPT-3 on the Mobileye prospectus in order to build an IPO research assistant that can summarize and answer questions about the document.
Fine-Tuning GPT-3: Building an Earnings Call Assistant
In this article, we fine-tune GPT-3 on an earnings call transcript to write a summary and answer questions about the call.