Improving language models by retrieving from trillions of tokens
Milestone Papers
Improving language models by retrieving from trillions of tokens

(2021-12) Retro by DeepMind

Paper
(2021-12) Retro by DeepMind

Relevant Sites

PaLM-E: An Embodied Multimodal Language Model

(2023-03) PaLM-E by Google

Mistral 7B

(2023-10) Mistral 7B by Mistral

Direct Preference Optimization: Your Language Model is Secretly a Reward Model

(2023-05) DPO by Stanford

Language models are few-shot learners

(2020-05) GPT 3.0 by OpenAI

Visual Instruction Tuning

(2023-04) LLaVA by UW–Madison&Microsoft

Language Models are Unsupervised Multitask Learners

(2019-02) GPT 2.0 by OpenAI

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