Original · 1884440764677251515 · Alexandr Wang @alexandr_wang · 2025-01-29 · en X

What does DeepSeek R1 & v3 mean for LLM data?

Contrary to some lazy takes I’ve seen, DeepSeek R1 was trained on a shit ton of human-generated data—in fact, the DeepSeek models are setting records for the disclosed amount of post-training data for open-source models:

- 600,000 https://t.co/CFhqtaflQ4

RT @alexandr_wang: What does DeepSeek R1 & v3 mean for LLM data?

Contrary to some lazy takes I’ve seen, DeepSeek R1 was trained on a shit…

Original · 1884786839913111931 · Deedy @deedydas · 2025-01-30 · en X

China's only good AI model is not DeepSeek.

There are TEN top tier models all trained from scratch (equal to or better than Europe / Mistral's biggest model).

The US has only 5 labs—OpenAI, Anthropic, Google, Meta, xAI—playing at this scale.

The AI race is very much on. https://t.co/ZTxgjDfjEr

RT @deedydas: China's only good AI model is not DeepSeek.

There are TEN top tier models all trained from scratch (equal to or better than…

Original · 1884576523862331845 · Om Alve @alve_om · 2025-01-29 · en X

So I pre-trained an LLM from scratch this week, yes, pretrained not finetuned. This is how it went - A thread 🧵 https://t.co/pc5eqwbVBv

RT @alve_om: So I pre-trained an LLM from scratch this week, yes, pretrained not finetuned. This is how it went - A thread 🧵 https://t.co/p…

Original · 1884452216800686579 · Aman Chadha @i_amanchadha · 2025-01-29 · en X

🧠 DeepSeek-R1 Primer • https://t.co/YfEosETfrG

- DeepSeek R1, the open-source reasoning model, is poised to democratize Large Reasoning Models (LRMs). R1 offers benchmark performance comparable with OpenAI's o1 at a fraction of the cost.
- This primer dissects the innovative https://t.co/JVnsqt80x7

RT @i_amanchadha: 🧠 DeepSeek-R1 Primer • https://t.co/YfEosETfrG

- DeepSeek R1, the open-source reasoning model, is poised to democratize…