12 Open Source LLMs to Watch
In this guide, we look at the top open source large language models (LLMs) to watch, including use cases, model weights, and more.
By
Peter Foy
Natural Language Processing
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By
Peter Foy
Featured
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GPT-3 Fine Tuning
GPT Fine Tuning as a Service: Build Your Own Custom AI
We're excited to announce our new service: GPT fine tuning as a service.
By
Peter Foy
Getting Started with ChatGPT Code Interpreter
In this guide, we'll discuss ChatGPT's latest plugin: Code Interpreter. The plugin combines the power of LLMs with the ability to write and execute Python.
By
MLQ
GPT Function Calling: Building an AI Stock Screener
In this video tutorial, we'll walk through how to use GPT's new function calling capability to convert natural language into a stock screening API call.
By
Peter Foy
GPT-4 Function Calling: Building a Stock Screening Assistant
In this guide, we'll discuss how to use GPT-4's new function calling capability to create a natural language to stock screener AI assistant.
By
Peter Foy
Getting Started with GPT Function Calling: MLQ Academy
In this video tutorial, we'll walk through how to get started with latest GPT API update: function calling.
By
Peter Foy
Getting Started with GPT-4 Function Calling
In this guide, we'll discuss how to get started with OpenAI's latest API upgrade: function calling.
By
Peter Foy
GPT-4 for Crypto On-Chain Analysis
In this guide, we'll discuss how we can use GPT-4 to summarize and analyze on-chain trading signals of crypto assets.
By
Peter Foy
GPT-4 for Financial Ratios: Academy
In this video tutorial, we'll walk through how to use GPT-4 to analyze financial ratios, including liquidity, profitability, valuation, and other key metrics.
By
Peter Foy
Featured
public
GPT-4
GPT-4 for Financial Statements: Building an AI Analyst
In this guide, we discuss how build an AI analyst that uses GPT-4 to analyze financial statements, including income statements, balance sheets, and cash flow of public companies.
By
Peter Foy
Getting Started with the ChatGPT Retrieval Plugin: 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 Retrieval Plugin: Adding Long Term Memory with Pinecone
In this guide, we'll walk through how to get started with the ChatGPT Retrieval Plugin and add long term memory using Pinecone.
By
Peter Foy
ChatGPT Plugins: Building an Educational AI/ML Tutor
In this guide, we'll build a simple ChatGPT Plugin that guides students through an educational track, which includes lessons, questions, and feedback for an interactive learning experience.
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: Building a Stock Screener Assistant
In this guide, we'll walk through how to build a ChatGPT Plugin stock screener assistant using the Financial Modeling Prep API.
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
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
GPT-4 & Pinecone - Ask Questions About Any Website: 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
GPT-4 & Pinecone: Turning a Website into an 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.
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 an AI Research Assistant with LangChain & Pinecone: 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 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: 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
Building a GPT-3 Enabled Document Assistant with LangChain
In this guide, we look at how to build a GPT-3 enabled document assistant using OpenAI and LangChain.
By
Peter Foy
Getting Started with LangChain
In this prompt engineering guide, we'll discuss how to get started with a powerful library for building more complex LLM applications: LangChain.
By
Peter Foy
Getting Started with the ChatGPT API: Academy
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
MLQ Academy: Building a GPT-3 Enabled App with Streamlit
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.
By
Peter Foy
MLQ Academy: Build a GPT-3 Enabled Earnings Call Assistant
In this video tutorial, we'll walk through how to create an earnings call assistant using OpenAI Embeddings and Completions API.
By
Peter Foy
MLQ Academy: Build a YouTube Video Assistant Using Whisper & GPT-3
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.
By
Peter Foy
MLQ Academy: PDF to Q&A Assistant using Embeddings & GPT-3
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.
By
Peter Foy
MLQ Academy: Create a Custom Q&A Bot with GPT-3 & Embeddings
In this video tutorial, we'll walk through a Colab notebook that demonstrates how to create a factual Q&A assistant using the OpenAI Embeddings & Completions API.
By
Peter Foy
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
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
What is GPT-3? Key Concepts & Use Cases
In this article, we'll discuss GPT-3: including its key concepts, how it works, use cases, fine-tuning, and more.
By
Peter Foy
What is a Large Language Model (LLM)?
In this guide, we'll discuss everything you need to know about Large Language Models (LLMs), including key terms, algorithms, fine-tuning, and more.
By
Peter Foy
ChatGPT crosses 1 million users in its first week- This Week in AI
This week in AI we have stories about ChatGPT taking the internet by storm and crossing 1 million users in its first week.
By
Peter Foy
What is ChatGPT? Key Concepts & Use Cases
In this guide, we'll review the chatbot everyone on the internet is talking about: ChatGPT. We'll discuss what ChatGPT is, its limitations, key concepts, use cases, and more.
By
Peter Foy
OpenAI Releases ChatGPT - This Week in AI
This week in AI we have stories about OpenAI's new ChatGPT model for dialogue and a new startup working on "copilot for lawyers".
By
Peter Foy
Exploring the Environmental Impact of Artificial Intelligence - This Week in AI
This week in AI we have stories about measuring the true carbon footprint of artificial intelligence, GPT-4 rumours, and AI-based microdrones.
By
Peter Foy
AI Researchers Release Open-Source Large Language Model - This Week in AI
Welcome to our This Week in AI roundup. This week we have stories about the release of an open-source large language model trained on 176 billion parameters, AI-generated image solutions, and more.
By
Peter Foy
Sentiment Analysis and Natural Language Processing (NLP) for SEC Filings
In this guide, we discuss how traders and investors can use sentiment analysis and natural language processing (NLP) for SEC filings to speed up their research process.
By
Peter Foy
Naive Bayes for Sentiment Analysis & Natural Language Processing (NLP)
In this article on natural language processing, we discuss how to use the Naive Bayes formula for the purpose of sentiment analysis.
By
Peter Foy
Natural Language Processing (NLP) for Sentiment Analysis with Logistic Regression
In this article, we discuss how to use natural language processing and logistic regression for the purpose of sentiment analysis.
By
Peter Foy
Natural Language Processing
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Introduction to Natural Language Processing (NLP) with TensorFlow
In this article, we introduce how to use TensorFlow and Keras for natural language processing (NLP).
By
Peter Foy
Natural Language Processing
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Introduction to Deep Learning for Natural Language Processing
In this guide we'll review key concepts regarding the application of deep learning for natural language processing.
By
Peter Foy