AI & machine learning2022 · shared on Hacker News

Training Compute-Optimal Large Language Models

Explore Training Compute-Optimal Large Language Models, its original source and Hacker News discussions. Discover community perspectives and save it to your reading list.

Read original

The conversation around the idea.

Original Hacker News threads. Different perspectives, questions, and things worth thinking about.

Showing up to 100 related threads. A paper may appear in a comment rather than the original submission.

Links found in the discussion

Up to 50 recent source links, in HN item order.

Yhardmaru ·

Stable Diffusion 2.0

1,320 points471 comments
Yiamwil ·

History LLMs: Models trained exclusively on pre-1913 texts

876 points410 comments
Yjasondavies ·

John Carmack's new AGI company, Keen Technologies, has raised a $20M round

461 points619 comments
Yhomarp ·

Pathways Language Model (PaLM): Scaling to 540B parameters

235 points207 comments
Yfriggeri ·

Llama 2 – Meta AI

235 points55 comments
Ygeorgehill ·

DeepMind’s New Language Model, Chinchilla

229 points142 comments
YHard_Space ·

The road to realistic full-body deepfakes

220 points201 comments
Yraldi ·

GPT-3 can create both sides of an Interactive Fiction transcript

132 points68 comments
Yjmsflknr ·

Sundar Pichai: An important next step on our AI journey

127 points78 comments
YBostonian ·

Why do LLMs have emergent properties?

83 points110 comments
Ydavidbarker ·

Stability AI Launches the First of Its StableLM Suite of Language Models

76 points15 comments
Ygardenfelder ·

The LLama Effect: Leak Sparked a Series of Open Source Alternatives to ChatGPT

58 points7 comments
YBrajeshwar ·

Estimating PaLM's Training Cost

51 points17 comments
Yerwald ·

The Prospect of an AI Winter

44 points17 comments
Ytosh ·

SparseGPT: Language Models Can Be Accurately Pruned in One-Shot

24 points1 comments
Ygslin ·

Stability AI releases its latest image-generating model, Stable Diffusion XL 1.0

24 points7 comments
Yviburnum ·

Carmack Leaves Meta

21 points2 comments
Youtrun86 ·

Consortium launched to build the largest open LLM

18 points5 comments
Yog_kalu ·

Large Language Models for Compiler Optimization

15 points1 comments
Ymfiguiere ·

LLaMA: A foundational, 65B-parameter large language model

12 points6 comments
Yqualudeheart ·

Training Compute-Optimal Large Language Models

8 points0 comments
Yfaustog ·

70B language model outperforms Gopher and GPT-3

5 points0 comments
Yadityaathalye ·

The wall confronting large language models

5 points1 comments
Ymonort ·

Language Models Can Teach Themselves to Program Better

4 points1 comments
Ymetalwhale ·

Open source solution replicates ChatGPT training process

4 points0 comments
YDDSDev ·

OpenAI’s CEO confirms the company isn’t training GPT-5 and ‘won’t for some time’

4 points3 comments
Yvsroy ·

Llama 1.3B Trained on 200B Tokens for Commercial Use

4 points1 comments
Yhmokiguess ·

Cohere's First Model for Developers

4 points0 comments
Yzuhayeer ·

Training Compute-Optimal Large Language Models

3 points0 comments
Ysquidhunter ·

GPT in 60 Lines of NumPy

3 points0 comments
Yswyx ·

Replit's new Code LLM: Open Source, 77% smaller than Codex, trained in 1 week

3 points0 comments
Ysharonzhou ·

Free and Fast LLM Finetuning

3 points3 comments
Yjjwiseman ·

Copilot Internals

2 points0 comments
Ymrtksn ·

LLaMA-7B in Pure C++ with full Apple Silicon support

2 points1 comments
Ybelter ·

Do large language models need all those layers?

2 points0 comments
Ygmays ·

Training Compute-Optimal Large Language Models

1 points0 comments
Ykrm01 ·

Ask HN: What's the value ratio of GPT3's LLM vs. its training data?

1 points2 comments
Yatleastoptimal ·

GPT-4 performs significantly worse on coding problems not in its training data

1 points0 comments
Yhahnchen ·

Ask HN: AI/ML papers to catch up with current state of AI?

1 points0 comments

One idea leads to another.

Explore more papers