ChatGPT Plugins: Building an AI News Assistant
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.
By
Peter Foy
ChatGPT
By
Peter Foy
Getting Started with AutoGPT: MLQ Academy
In this video tutorial, we'll walk through how to get started with AutoGPT: the autonomous GPT-4 experiment taking the AI world by storm.
By
Peter Foy
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.
By
Peter Foy
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.
By
Peter Foy
ChatGPT Plugins: How to Build a To-Do List Plugin
In this guide, we'll see how we can get started building ChatGPT plugins and build a simple to-do list plugin.
By
Peter Foy
Prompt Engineering: Advanced Techniques
In this guide, we review several advanced prompt engineering techniques, including chain of shought (CoT) prompting, self consistency, ReAct, and more.
By
Peter Foy
ChatGPT Plugins: Key Concepts & Use Cases
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".
By
Peter Foy
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.
By
Peter Foy
GPT-4 Release: Key Concepts & Capabilities
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.
By
Peter Foy
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.
By
Peter Foy
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.
By
Peter Foy
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
By
Peter Foy
Getting Started with LangChain: MLQ Academy
In this video tutorial, we'll walk through how to get started with a powerful library for building more advanced LLM-enabled applications: LangChain.
By
Peter Foy
MLQ Academy: Getting Started with the ChatGPT API
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.
By
Peter Foy
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.
By
Peter Foy
Microsoft (MSFT) Q2 2023: Earnings Call Summary
Microsoft (MSFT) Q2 2023 Earnings Call Summary by our fine-tuned GPT-3 earnings call assistant.
By
MLQ
GPT-3 Fine Tuning: Key Concepts & Use Cases
In this guide, we discuss what GPT-3 fine-tuning is, including key concepts such as how to prepare a fine-tuning dataset, use cases, and more.
By
Peter Foy
Making Recommendations Using GPT-3 & Embeddings
In this guide, we discuss how to use GPT-3, OpenAI's Embeddings API and nearest neighbor search in order to build a recommendation engine.
By
Peter Foy
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.
By
Peter Foy
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.
By
MLQ
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.
By
Peter Foy
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.
By
Peter Foy
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.
By
Peter Foy
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.
By
Peter Foy
Building a Custom GPT-3 Q&A Bot Using Embeddings
In this guide, we discuss how to use embeddings to create a factual GPT-3 question-and-answer bot.
By
Peter Foy