Awesome AI Papers
Section: NLP
SlowScore 51
Entry
ChatGPT
Appears in 8 awesome lists
Announcement of ChatGPT, a conversational model trained to answer follow-up questions, admit mistakes, challenge incorrect premises, and reject inappropriate requests. OpenAI blog, November 30, 2022.
Found in these lists
Awesome-ChatGPT
Section: Official Resources
FreshScore 84
Awesome Multimodal Research
Section: News
StaleScore 50
Awesome Transformer & Transfer Learning in NLP
Section: Generative Pre-Training Transformer (GPT)
StaleScore 52
Sponsors
Section: Official Resources
ActiveScore 78
awesome-chatgpt
Section: Version · Website.This is an official online chat tool provided by OpenAI, which allows you to have AI conversations with ChatGPT.
StaleScore 52
Awesome Chatgpt
Section: Official
SlowScore 69
Awesome Generative AI
Section: Milestones · Announcement of ChatGPT, a conversational model trained to answer follow-up questions, admit mistakes, challenge incorrect premises, and reject inappropriate requests. OpenAI blog, November 30, 2022.
FreshScore 90
Often listed next to it
ChatGPT
Every time you are about to Google something, I would strongly advice first to ask ChatGPT your question. We, producers, might often need to reference or look up a term or a concept, which is where ChatGPT shines.
In 9 listsDetails
ReAct
The foundational paper defining the Thought/Action/Observation loop structure that underlies virtually every agent harness. Required reading for understanding why the loop is structured the way it is and where each harness component maps onto the reasoning-acting cycle.
In 7 listsDetails
Training language models to follow instructions with human feedback
This paper presents an RLHF approach to using supervised learning to fine-tuning. It is also known as a paper that illustrates the kernel of ChatGPT's thinking. Presumably, ChatGPT is an extended version of InstructGPT that enables fine-tuning on larger datasets.
In 6 listsDetails
Chain-of-Thought Prompting
foundational result; intermediate reasoning steps improve performance.
In 5 listsDetails
unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
In 4 listsDetails
DALL·E 2
DALL·E 2 by OpenAI is a new AI system that can create realistic images and art from a description in natural language.
In 3 lists
Training Compute-Optimal Large Language Models
by Hoffmann et al. at DeepMind. TLDR: introduces a new 70B LM called "Chinchilla" that outperforms much bigger LMs (GPT-3, Gopher). DeepMind has found the secret to cheaply scale large language models — to be compute-optimal, model size and training data must be scaled equally. It shows that most…
In 3 lists