Ajith V Prabhakar

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commented a paper 19 days ago

Byte Latent Transformer: Patches Scale Better Than Tokens

Paper • 2412.09871 • Published 24 days ago • 82 •

6

commented a paper 3 months ago

Training Language Models to Self-Correct via Reinforcement Learning

Paper • 2409.12917 • Published Sep 19, 2024 • 136 •

9

commented a paper 4 months ago

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21, 2024 • 57 •

4

commented a paper 6 months ago

LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs

Paper • 2406.15319 • Published Jun 21, 2024 • 62 •

8

commented 2 papers 7 months ago

Mixture-of-Agents Enhances Large Language Model Capabilities

Paper • 2406.04692 • Published Jun 7, 2024 • 55 •

3

Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16, 2024 • 126 •

12

commented 2 papers 8 months ago

OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework

Paper • 2404.14619 • Published Apr 22, 2024 • 126 •

14

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Paper • 2404.14219 • Published Apr 22, 2024 • 253 •

42

commented 2 papers 9 months ago

Jamba: A Hybrid Transformer-Mamba Language Model

Paper • 2403.19887 • Published Mar 28, 2024 • 104 •

5

Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Paper • 2404.02258 • Published Apr 2, 2024 • 104 •

6

commented a paper 11 months ago

Self-Discover: Large Language Models Self-Compose Reasoning Structures

Paper • 2402.03620 • Published Feb 6, 2024 • 114 •

10