AutoGPT & LangChain: Building an Automated Research Assistant - MLQ Academy
In this video tutorial, we'll walk through how to build an implementation of AutoGPT using LangChain.
By
Peter Foy
Academy
By
Peter Foy
Getting Started with the ChatGPT Retrieval Plugin: MLQ Academy
In this video tutorial, we'll walk through how to get started with the ChatGPT retrieval plugin and add long term memory to our plugin with Pinecone.
By
Peter Foy
ChatGPT Plugins: Building an AI/ML Tutor - MLQ Academy
In this video tutorial, we'll walk through how to build a ChatGPT plugin that acts as an AI/ML tutor and guides users down an educational track.
By
Peter Foy
ChatGPT Plugins: Stock Screener Assistant - MLQ Academy
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.
By
Peter Foy
ChatGPT Plugins: AI News Assistant - MLQ Academy
In this video tutorial, we'll walk through how to build a ChatGPT Plugin that retrieves & summarizes AI-related news.
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
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
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 & Pinecone - Ask Questions About Any Website: MLQ Academy
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.
By
Peter Foy
Building an AI Research Assistant with LangChain & Pinecone: MLQ Academy
In this video tutorial, we'll discuss how you can use GPT-3, LangChain, and Pinecone to create an AI research assistant.
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
Deep Reinforcement Learning for Trading: Deploying the Algorithm at Interactive Brokers
In this section we'll finish our initial deep reinforcement learning trading algorithm by deploying it at a simulated account at Interactive Brokers.
By
Peter Foy
Deep Reinforcement Learning for Trading: Using Gradient Ascent to Maximize Sharpe Ratio
In this section, the objective is to use reinforcement learning to maximize the Sharpe ratio using gradient ascent.
By
Peter Foy
Deep Reinforcement Learning for Trading: Building a CNN for Probability
In this section, we're going to add another deep learning model to our trading algorithm and build a convolutional neural network (CNN).
By
Peter Foy
Deep Reinforcement Learning for Trading: Building an LSTM for Price Prediction
In this guide we build an LSTM for price prediction in our deep reinforcement learning trading algorithm.
By
Peter Foy
Deep Reinforcement Learning for Trading: Imports, Inputs, & Helper Functions
In this section we'll start with the imports, model and trading logic inputs, and helper functions that we'll need for this deep reinforcement learning for trading project.
By
Peter Foy
Deep Reinforcement Learning for Trading: Project Overview
In this project we're going to build a deep reinforcement learning trading agent and deploy it in a simulated trading account at Interactive Brokers.
By
Peter Foy