Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
Milestone Papers
Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision

(2023-05) Dromedary by CMU et al.

Paper
(2023-05) Dromedary by CMU et al.

Relevant Sites

Unifying Language Learning Paradigms

(2022-05) UL2 by Google

Improving language models by retrieving from trillions of tokens

(2021-12) Retro by DeepMind

Tree of Thoughts: Deliberate Problem Solving with Large Language Models

(2023-05) ToT by Google&Princeton

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

(2022-11) BLOOM by BigScience

GLaM: Efficient Scaling of Language Models with Mixture-of-Experts

(2021-12) GLaM by Google

PaLM: Scaling Language Modeling with Pathways

(2022-04) PaLM by Google

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