Dec
23
OpenCoder: The OPEN Cookbook For Top-Tier Code LLMs
Welcome to the last arXiv Dive of 2024! Every other week we have been diving into interesting research papers in
Greg Schoeninger
Dec
09
LLaVA-CoT: Let Vision Language Models Reason Step-By-Step
When it comes to large language models, it is still the early innings. Many of them still hallucinate, fail to
Nov
18
How Upcycling MoEs Beat Dense LLMs
In this Arxiv Dive, Nvidia researcher, Ethan He, presents his co-authored work Upcycling LLMs in Mixture of Experts (MoE). He
Nov
11
Thinking LLMs: General Instruction Following with Thought Generation
The release of OpenAI-O1 has motivated a lot of people to think deeply about…thoughts 💭. Thinking before you speak is
Oct
31
The Prompt Report Part 2: Plan and Solve, Tree of Thought, and Decomposition Prompting
In the last blog, we went over prompting techniques 1-3 of The Prompt Report. This arXiv Dive, we were lucky
Oct
09
The Prompt Report Part 1: A Systematic Survey of Prompting Techniques
For this blog we are switching it up a bit. In past Arxiv Dives, we have gone deep into the
Jul
21
ArXiv Dives: How ReFT works
ArXiv Dives is a series of live meetups that take place on Fridays with the Oxen.ai community. We believe
May
29
ArXiv Dives: Efficient DiT Fine-Tuning with PixART for Text to Image Generation
Diffusion Transformers have been gaining a lot of steam since OpenAI's demo of Sora back in March. The
May
17
ArXiv Dives: Evaluating LLMs for Code Completion with HumanEval
Large Language Models have shown very good ability to generalize within a distribution, and frontier models have shown incredible flexibility
Apr
29
How to Train Diffusion for Text from Scratch
This is part two of a series on Diffusion for Text with Score Entropy Discrete Diffusion (SEDD) models. Today we