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Arxiv Dives:
Each week we dive deep into a topic in machine learning or general artificial intelligence research. The sessions are live with a group of smart Oxen every Friday. Create an account: www.oxen.ai and join the discussion: https://lu.ma/oxen

How we Fine-tuned Qwen3.0-6B to Beat GPT-4o on Text2SQL
50:56
How we Fine-tuned Qwen3.0-6B to Beat GPT-4o on Text2SQL
How RWKV-7 Goose and It's Linear Inference Work with Author Eugene Cheah
1:11:17
How RWKV-7 Goose and It's Linear Inference Work with Author Eugene Cheah
Oxen.ai's Notebooks: Spin up your Python Notebooks on any GPU in Seconds
2:43
Oxen.ai's Notebooks: Spin up your Python Notebooks on any GPU in Seconds
SLMs - When and When NOT to use them (+ Mistral 3.1 & Gemma-3 Bakeoff)
59:32
SLMs - When and When NOT to use them (+ Mistral 3.1 & Gemma-3 Bakeoff)
How Phi-4 Cracked Small Multimodality
35:48
How Phi-4 Cracked Small Multimodality
GRPO: How DeepSeek R1's Reinforcement Learning Works
35:27
GRPO: How DeepSeek R1's Reinforcement Learning Works
How R1 and GRPO Work (Deep Technical Dive into DeepSeeks Models)
44:31
How R1 and GRPO Work (Deep Technical Dive into DeepSeeks Models)
RAGAS: A New Framework for Evaluating RAG
43:13
RAGAS: A New Framework for Evaluating RAG
Inside OpenCoder: The Data and Cookbook
54:45
Inside OpenCoder: The Data and Cookbook
How Vision LLMs Reasoning: Inside LLaVa CoT
37:14
How Vision LLMs Reasoning: Inside LLaVa CoT
Qwen 72B Vision Language Model Running in Oxen.ai
1:00
Qwen 72B Vision Language Model Running in Oxen.ai
Model Inference in Oxen.AI
0:53
Model Inference in Oxen.AI
Oxen.ai Demo - 11/18/2024
8:56
Oxen.ai Demo - 11/18/2024
Upcycling LLMs into MoE with Nvidia Researcher, Ethan He
59:28
Upcycling LLMs into MoE with Nvidia Researcher, Ethan He
How Meta's Thinking LLMs Work
47:09
How Meta's Thinking LLMs Work
How tree-of-thought, plan-and-solve, and decomposition prompting work with Sander Schulhoff
54:25
How tree-of-thought, plan-and-solve, and decomposition prompting work with Sander Schulhoff
Inside The Prompt Report...Part 1
56:42
Inside The Prompt Report...Part 1
How To Fine-Tune Llama 3.1 in 11 Minutes
2:39
How To Fine-Tune Llama 3.1 in 11 Minutes
Inside the Model that Beat DALL-E and PIXART
33:07
Inside the Model that Beat DALL-E and PIXART
How to Use Llama 3.1 to Generate Synthetic Data
3:31
How to Use Llama 3.1 to Generate Synthetic Data
How Llama 3.1 Works
52:21
How Llama 3.1 Works
How Unlimiformer Works From the Author Herself- Amanda Bertsch
43:52
How Unlimiformer Works From the Author Herself- Amanda Bertsch
How ReFT Works w/ Author Zhengxuan Wu
53:20
How ReFT Works w/ Author Zhengxuan Wu
Oxen AI's Rust Meetup!
57:42
Oxen AI's Rust Meetup!
How Samba Works
21:54
How Samba Works
How Interpretable Features in Claude 3 Work
38:24
How Interpretable Features in Claude 3 Work
Efficient DiT Fine-Tuning with PixART for Text to Image Generation
41:38
Efficient DiT Fine-Tuning with PixART for Text to Image Generation
Comparing HumanEval vs. EvalPlus
45:51
Comparing HumanEval vs. EvalPlus
How To Train an LLM With Diffusion From Scratch
45:05
How To Train an LLM With Diffusion From Scratch
How Diffusion Works for Text
42:24
How Diffusion Works for Text