Mar
25
How Phi-4 Cracked Small Multimodality
Phi-4 extends the existing Phi model’s capabilities by adding vision and audio all in the same model. This means
Latest
Mar
05
Training a Rust 1.5B Coder LM with Reinforcement Learning (GRPO)
Group Relative Policy Optimization (GRPO) has proven to be a useful algorithm for training LLMs to reason and improve on
Feb
11
Why GRPO is Important and How it Works
Last week on Arxiv Dives we dug into research behind DeepSeek-R1, and uncovered that one of the techniques they use
Feb
05
🧠 GRPO VRAM Requirements For the GPU Poor
Since the release of DeepSeek-R1, Group Relative Policy Optimization (GRPO) has become the talk of the town for Reinforcement Learning
Feb
04
How DeepSeek R1, GRPO, and Previous DeepSeek Models Work
In January 2025, DeepSeek took a shot directly at OpenAI by releasing a suite of models that “Rival OpenAI’s
Jan
29
No Hype DeepSeek-R1 Reading List
DeepSeek-R1 is a big step forward in the open model ecosystem for AI with their latest model competing with OpenAI&
Jan
27
Oxen v0.25.0 Migration
Today we released oxen v0.25.0 🎉 which comes with a few performance optimizations, including how we traverse the Merkle
Jan
27
🌲 Merkle Tree VNodes
In this post we peel back some of the layers of Oxen.ai’s Merkle Tree and show how we
Jan
27
🌲 Merkle Tree 101
Intro
Merkle Trees are important data structures for ensuring integrity, deduplication, and verification of data at scale. They are used
Jan
21
arXiv Dive: RAGAS - Retrieval Augmented Generation Assessment
RAGAS is an evaluation framework for Retrieval Augmented Generation (RAG). A paper released by Exploding Gradients, AMPLYFI, and CardiffNLP. RAGAS