I'm a machine learning engineer, quantitative analyst, and quantum computing enthusiast with a background in SaaS and venture capital.
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.
In this guide, we'll walk through how to build a ChatGPT Plugin stock screener assistant using the Financial Modeling Prep API.
In this video tutorial, we'll walk through how to build a ChatGPT Plugin that retrieves & summarizes AI-related news.
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.
In this guide, we'll look at how to add long term memory with Pinecone to AutoGPT, the experimental GPT-4 project taking the AI world by storm.
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.
In this guide, we'll discuss how to get started with Auto-GPT, the autonomous GPT-4 experiment taking the AI world by storm.
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.
In this guide, we'll see how we can get started building ChatGPT plugins and build a simple to-do list plugin.
In this guide, we review several advanced prompt engineering techniques, including chain of shought (CoT) prompting, self consistency, ReAct, and more.
In this beginners guide to Midjourney, we discuss how to get started with the Midjourney Discord server, how to setup your own server, and prompt engineering best practices.
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".
In this video tutorial, we'll build a simple frontend for an AI/ML tutor using GPT-4, Streamlit, and Pinecone.
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.
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.
In this guide, we'll discuss several prompt engineering techniques and best practices to improve GPT-3 and GPT-4 responses and reliability.
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.
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.
In this video tutorial, we'll discuss how you can use GPT-3, LangChain, and Pinecone to create an AI research assistant.
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.
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
In this guide, we look at how to build a GPT-3 enabled document assistant using OpenAI and LangChain.
In this video tutorial, we'll walk through how to get started with a powerful library for building more advanced LLM-enabled applications: LangChain.
In this prompt engineering guide, we'll discuss how to get started with a powerful library for building more complex LLM applications: LangChain.
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.
In this article, we'll discuss how to get started with the ChatGPT API, including migrating from previous models, best practices, and more.
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.
In this video tutorial, we'll walk through how to create an earnings call assistant using OpenAI Embeddings and Completions API.
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.
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.
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.
IBM (IBM) Q4 2022 Earnings Call Summary by our fine-tuned GPT-3 earnings call assistant.
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.
In this article, we discuss the concept of prediction intervals, also known as uncertainty estimates, which give a range of prediction values with upper and lower bounds.
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.
In this article, we discuss how to combine OpenAI's Whisper and GPT-3 fine tuning in order to summarize a YouTube video.
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.
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.
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.
In this article, we fine-tune GPT-3 on an earnings call transcript to write a summary and answer questions about the call.
In this guide, we discuss how to use embeddings to create a factual GPT-3 question-and-answer bot.
In this article, we'll discuss GPT-3: including its key concepts, how it works, use cases, fine-tuning, and more.
The basic idea of quantum computing is to break through the barriers that limit the speed of existing computers by harnessing the strange, counterintuitive, and powerful physics of subatomic particles.
This week in AI we have stories about the implications of copyright infringement and generative AI, specifically image generators like DALLE-2 and Stable Diffusion.
In this article, we discuss how to use ensemble learning for the task of time series forecasting and combine their predictions to improve performance.
In this guide, we'll discuss everything you need to know about Large Language Models (LLMs), including key terms, algorithms, fine-tuning, and more.
Developed as an open source project by the Facebook AI team, PyTorch was released in 2017 and has been making a big impact in the deep learning community.
The idea of GANs is that we have two neural networks, a generator and a discriminator, which learn from each other to generate realistic samples from data.
This week in VC we have stories about how the generative AI gold rush is heating up following such rapid and mainstream adoption of ChatGPT.
Amongst all the hype around ChatGPT, Stack Overflow has made a decision to temporarily ban users from sharing responses generated by the AI chatbot.
