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
GPT-3 Fine Tuning
By
Peter Foy
Getting Started with GPT 3.5 Turbo Fine Tuning
GPT 3.5 Turbo fine tuning has arrived. In this guide we discuss how to get started with fine tuning, including use cases & examples.
By
Peter Foy
NVIDIA Reports Blowout Quarter - This Week in AI
This week in AI we have stories about another blowout quarter for NVIDIA, fine-tuning OpenAI’s GPT-3.5, and major companies start to block OpenAI’s web crawler .
By
Mike Sak
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
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: 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
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
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 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