Simplifying AI Papers

Perception Language Models (PLMs) by Meta – A Fully Open SOTA VLM
8:35
Perception Language Models (PLMs) by Meta – A Fully Open SOTA VLM
GRPO Reinforcement Learning Explained (DeepSeekMath Paper)
14:38
GRPO Reinforcement Learning Explained (DeepSeekMath Paper)
GRPO 2.0? DAPO LLM Reinforcement Learning Explained
13:42
GRPO 2.0? DAPO LLM Reinforcement Learning Explained
Cheating LLMs & How (Not) To Stop Them | OpenAI Paper Explained
8:21
Cheating LLMs & How (Not) To Stop Them | OpenAI Paper Explained
START by Alibaba: Teaching LLMs to Debug Their Thinking with Python
8:04
START by Alibaba: Teaching LLMs to Debug Their Thinking with Python
SWE-RL by Meta — Reinforcement Learning for Software Engineering LLMs
8:31
SWE-RL by Meta — Reinforcement Learning for Software Engineering LLMs
Large Language Diffusion Models - The Era Of Diffusion LLMs?
9:29
Large Language Diffusion Models - The Era Of Diffusion LLMs?
CoCoMix by Meta AI - The Future of LLMs Pretraining?
9:33
CoCoMix by Meta AI - The Future of LLMs Pretraining?
s1: Simple Test-Time Scaling - Can 1k Samples Rival o1-Preview?
8:49
s1: Simple Test-Time Scaling - Can 1k Samples Rival o1-Preview?
DeepSeek Janus-Pro: DeepSeek's Revolution in Multimodal AI?
9:01
DeepSeek Janus-Pro: DeepSeek's Revolution in Multimodal AI?
DeepSeek-R1 Paper Explained - A New RL LLMs Era in AI?
9:09
DeepSeek-R1 Paper Explained - A New RL LLMs Era in AI?
Titans by Google: The Era of AI After Transformers?
10:53
Titans by Google: The Era of AI After Transformers?
rStar-Math by Microsoft: Can SLMs Beat OpenAI o1 in Math?
10:23
rStar-Math by Microsoft: Can SLMs Beat OpenAI o1 in Math?
Large Concept Models (LCMs) by Meta: The Era of AI After LLMs?
10:23
Large Concept Models (LCMs) by Meta: The Era of AI After LLMs?
Byte Latent Transformer (BLT) by Meta AI - A Tokenizer-free LLM
10:07
Byte Latent Transformer (BLT) by Meta AI - A Tokenizer-free LLM
Coconut by Meta AI - LLM Reasoning With Chain of Continuous Thought
9:41
Coconut by Meta AI - LLM Reasoning With Chain of Continuous Thought
Hymba by NVIDIA: A Hybrid Mamba-Transformer SOTA Small LM
8:57
Hymba by NVIDIA: A Hybrid Mamba-Transformer SOTA Small LM
LLaMA-Mesh by Nvidia: LLM for 3D Mesh Generation
5:11
LLaMA-Mesh by Nvidia: LLM for 3D Mesh Generation
Tokenformer: The Next Generation of Transformers?
6:53
Tokenformer: The Next Generation of Transformers?
Generative Reward Models: Merging the Power of RLHF and RLAIF for Smarter AI
7:51
Generative Reward Models: Merging the Power of RLHF and RLAIF for Smarter AI
Writing in the Margins: Better LLM Inference Pattern for Long Context Retrieval
4:51
Writing in the Margins: Better LLM Inference Pattern for Long Context Retrieval
Sapiens by Meta AI: Foundation for Human Vision Models
4:33
Sapiens by Meta AI: Foundation for Human Vision Models
Mixture of Nested Experts by Google: Efficient Alternative To MoE?
7:37
Mixture of Nested Experts by Google: Efficient Alternative To MoE?
Introduction to Mixture-of-Experts | Original MoE Paper Explained
4:41
Introduction to Mixture-of-Experts | Original MoE Paper Explained
Mixture-of-Agents (MoA) Enhances Large Language Model Capabilities
3:54
Mixture-of-Agents (MoA) Enhances Large Language Model Capabilities
Arithmetic Transformers with Abacus Positional Embeddings | AI Paper Explained
4:52
Arithmetic Transformers with Abacus Positional Embeddings | AI Paper Explained
CLLMs: Consistency Large Language Models | AI Paper Explained
7:26
CLLMs: Consistency Large Language Models | AI Paper Explained
ReFT: Representation Finetuning for Language Models | AI Paper Explained
7:30
ReFT: Representation Finetuning for Language Models | AI Paper Explained
Stealing Part of a Production Language Model | AI Paper Explained
9:21
Stealing Part of a Production Language Model | AI Paper Explained
The Era of 1-bit LLMs by Microsoft | AI Paper Explained
6:10
The Era of 1-bit LLMs by Microsoft | AI Paper Explained