Ran Ding
  • Machine Learning
  • Photography
  • TIL
  • Random
  • Tags
  • About Me
Sign in Subscribe
Building LLM-powered products
Machine Learning

Building LLM-powered products

This is a quick note to discuss a few topics below related to building LLM-powered products and applications, such as how to let LLM use tools and become autonomous agents, how to incorporate domain adaptation, and the production hurdles.
Apr 23, 2023 10 min read
How does Auto-GPT work?
Machine Learning

How does Auto-GPT work?

In this note, we'll take a look at how Auto-GPT works and discuss LLM's ability to do explicit reasoning and to become an autonomous agent. We'll touch upon a few related works such as WebGPT, Toolformer, and Langchain.
Apr 9, 2023 8 min read
From Transformers to ChatGPT
Machine Learning

From Transformers to ChatGPT

This note provides a high-level summary of the progress in large language models (LLMs) covering major milestones from Transformers to ChatGPT. The note serves as a fast-paced recap for readers to catch up on this field quickly.
Dec 28, 2022 33 min read
Next.js: Firebase Authentication and Middleware for API Routes
Web Development

Next.js: Firebase Authentication and Middleware for API Routes

Building Next.js app with Firebase authentication on the client-side, as well as using it on the server-side with a middleware pattern similar to Express.js.
Feb 27, 2021 9 min read
Exponential-Min and Gumbel-Max
Machine Learning

Exponential-Min and Gumbel-Max

Exponential-min and Gumbel-max tricks for reformulating sampling from a discrete distribution as argmin and argmax, making the sampling operation differentiable.
Jan 1, 2019 4 min read
Quantitative Tech Interview Preparation Guide
Tech Career

Quantitative Tech Interview Preparation Guide

A short list of interview preparation resources for Data Scientists, Machine Learning Engineers, Machine Learning Scientists, Quant Developers and Quant Researchers.
May 5, 2018 5 min read
Recent Progress in Neural Variational Inference
Machine Learning

Recent Progress in Neural Variational Inference

A literature survey of recent papers on Neural Variational Inference (NVI) and its application in topic modeling.
Mar 8, 2018
A Brief Survey of Generative Models
Machine Learning

A Brief Survey of Generative Models

A high-level summary of various generative models including Variational Autoencoders (VAE), Generative Adverserial Networks (GAN), and their notable extentions and generalizations, such as f-GAN, Adversarial Variational Bayes (AVB), Wasserstein GAN, Wasserstein Auto-Encoder (WAE), Cramer GAN and etc
Dec 20, 2017 9 min read
Expectation-Maximization Algorithm in 10 minutes
Machine Learning

Expectation-Maximization Algorithm in 10 minutes

A quick walk-through of Expectation-Maximization (EM) algorithm and its cousins.
Dec 15, 2017 11 min read
Page 1 of 1
Ran Ding © 2023
Powered by Ghost