Python Speech-to-Text with Punctuation, Casing, and Formatting
Learn how to transcribe audio and video files into text that contains punctuation, casing and formatting using the AssemblyAI Python SDK.
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Large Language Models for Product Managers: 5 Things to Know
A Product Manager's guide to understanding Large Language Models and the building blocks of Conversational AI.
Modern Generative AI for images
Modern Generative AI models for images are powering a range of creative applications and changing the way we work. This guide will overview everything you need to know about these models and how they work.
The Full Story of Large Language Models and RLHF
Large Language Models have been in the limelight since the release of ChatGPT, with new models being announced seemingly every week. This guide walks through the essential ideas of how these models came to be.
Introduction to Generative AI
Generative AI has made tremendous strides recently, from models like Stable Diffusion to ChatGPT. Get up to speed on the latest advancements with this easy-to-follow introduction to Generative AI.
Everything you need to know about Generative AI
Generative AI has taken the world by storm in the last several months, but what actually is Generative AI, and how does it work? Learn everything you need to know about Generative AI in this easy-to-follow series.
How physics advanced Generative AI
Many cutting-edge Generative AI models are inspired by concepts from physics. In this guide, we’ll take a high-level look at how physics is driving advancements in AI.
Emergent Abilities of Large Language Models
Emergence can be defined as the sudden appearance of novel behavior. Large Language Models apparently display emergence by suddenly gaining new abilities as they grow. Why does this happen, and what does this mean?
Build a free Stable Diffusion app with a GPU backend
In this tutorial, we'll build a completely free-to-use web app that allows you to generate images with Stable Diffusion (on GPU) in seconds.
How ChatGPT actually works
Since its release, the public has been playing with ChatGPT and seeing what it can do, but how does ChatGPT actually work? While the details of its inner workings have not been published, we can piece together its functioning principles from recent research.
Stable Diffusion 1 vs 2 - What you need to know
Stable Diffusion 2 was released recently, sparking some debate about its performance relative to Stable Diffusion 1. Learn where the differences between the two models stem from and what they mean in practice in this simple guide.
Stable Diffusion in Keras - A Simple Tutorial
Learn how to generate and inpaint images with Stable Diffusion in Keras, and how XLA can boost Stable Diffusion's inference speed, in this easy-to-follow guide.
DeepMind's AlphaTensor Explained
AlphaTensor is a novel AI solution to discover mathematical algorithms with Reinforcement Learning. Learn everything you need to know about AlphaTensor in this comprehensive introduction.
An Introduction to Poisson Flow Generative Models
Poisson Flow Generative Models (PFGMs) are a new type of generative Deep Learning model, taking inspiration from physics much like Diffusion Models. Learn the theory behind PFGMs and how to generate images with them in this easy-to-follow guide.
How to Run OpenAI’s Whisper Speech Recognition Model
OpenAI's Whisper model can perform Speech Recognition on a wide selection of languages. We'll learn how to run Whisper before checking out a performance analysis in this simple guide.
Getting Started with Hugging Face's Gradio
Gradio allows you to easily create shareable apps using only Python. Learn how to build a dashboard for Audio Intelligence Analysis in this easy-to-follow tutorial.
How to Run Stable Diffusion Locally to Generate Images
Stable Diffusion is a text-to-image model with recently-released open-sourced weights. Learn how to generate an image of a scene given only a description of it in this simple tutorial.
MinImagen - Build Your Own Imagen Text-to-Image Model
Text-to-Image models have made great strides this year, from DALL-E 2 to the more recent Imagen model. In this tutorial learn how to build a minimal Imagen implementation - MinImagen.
How Imagen Actually Works
Given a brief description of a scene, Imagen can generate photorealistic, high-resolution images of the scene. Learn everything you need to know about Imagen and how it works in this easy-to-follow guide.
Getting Started with ESPnet
ESPnet is the premier end-to-end, open-source speech processing toolkit. This easy-to-follow guide will help you get started using ESPnet for Speech Recognition.
Introduction to Diffusion Models for Machine Learning
The meteoric rise of Diffusion Models is one of the biggest developments in Machine Learning in the past several years. Learn everything you need to know about Diffusion Models in this easy-to-follow guide.
MediaPipe for Dummies
With just a few lines of code, MediaPipe allows you to incorporate State-of-the-Art Machine Learning capabilities into your applications. Learn about MediaPipe and how to use its simple APIs in this beginner's guide.
A Beginner's Guide to TorchStudio, The PyTorch IDE
Learn how to build, train, and compare models with TorchStudio - the IDE built specifically for PyTorch.
Kaldi Install for Dummies
A step-by-step Kaldi install tutorial so you can get up and running on your NLP projects as soon as possible.
Differentiable Programming - A Simple Introduction
What is Differentiable Programming, and how is it different from Deep Learning? Check out this introduction to learn everything you need to know!