Reasoning models, like DeepSeek R1, are fundamentally just large language models (LLMs) using next token prediction. The article disputes the claim that these models have symbolic reasoning or special capabilities beyond LLMs. Key points include:
- DeepSeek R1 is a pure decoder only autoregressive model using next token prediction.
- Models like R1 Zero can achieve reasoning without supervised fine-tuning, using reinforcement learning.
- S1 paper shows models can build complex reasoning steps with very few examples.
- Pre-training with unsupervised next word prediction enables LLMs to perform reasoning.
Overall, the article argues that LLMs have inherent reasoning capabilities developed during pre-training, challenging the notion that LLMs are limited in their reasoning abilities.
Read: https://antirez.com/news/146
(Curated insights by NextBigWhat aims to bring sanity to the Gen AI space)
