DeepSeek R1 Zero

How was DeepSeek-R1 built; For dummies

Deepseek-r1-Zero is the most uncensored model

[D] r/MachineLearning - a year in review

DeepSeek-R1: How Did They Make an OpenAI-Level Reasoning Model So Damn Efficient?

DeepSeek R1-Zero Removes the Human Bottleneck

(from [8, 12, 14]) Reinforcement learning (RL) has played a crucial role throughout the history of research on large language models (LLMs). Through RL, we created early versions of instruction following models , made important advancements in alignment and…

It has been almost two years since OpenAI released o1, a model that popularized the idea of LLM-based reasoning models. DeepSeek-R1 followed about four months later, together with details of a reinforcement learning with verifiable rewards (RLVR) recipe to…

(from [1, 2, 3]) Scaling is one of the most impactful concepts in the history of AI research. For large language models (LLMs), scaling has mostly been studied in the context of pretraining, where rigorous scaling laws have allowed us to clearly define the…

(from [1, 3, 4]) Recent research on large language models (LLMs) has been heavily focused on reasoning and reinforcement learning (RL). At the center of this research lies Group Relative Policy Optimization (GRPO) [13], the RL optimizer used to train most…

(from [1, 19]) Reinforcement learning (RL) has always played a pivotal role in research on large language models (LLMs), beginning with its use for aligning LLMs to human preferences. More recently, researchers have heavily focused on using RL training to…

AI research team claims to reproduce DeepSeek core technologies for $30 — relatively small R1-Zero model has remarkable problem-solving abilities

Are LLMs Limited by Human Language?