Oxen Courses

How Vision Language Models Reason - Understanding LLaVa Chain of Thought

Delve into the technical aspects of LLaVa-CoT's vision language models, exploring data generation, training methodologies, and inference-time scaling for enhanced reasoning capabilities.

• YouTube
• 37 minutes
• On-Demand
• Free Video

Inside OpenCoder - Data Processing and Training Pipeline for Code LLMs

Delve into the technical details of OpenCoder's development, from data preprocessing and deduplication to training methodology and evaluation metrics for building effective code LLMs.

• YouTube
• 55 minutes
• On-Demand
• Free Video

How We Fine-tuned Qwen3.0-6B to Beat GPT-4o on Text2SQL

Discover how to fine-tune Qwen3.0-6B for Text2SQL tasks, outperforming GPT-4o through dataset preparation, model evaluation, and optimization techniques in this detailed walkthrough.

• YouTube
• 51 minutes
• On-Demand
• Free Video

Fine-Tuning a Diffusion Transformer to Generate OpenAI Level Images

Master fine-tuning diffusion transformers to create high-quality AI images using synthetic data generation and advanced training techniques for professional results.

• YouTube
• 54 minutes
• On-Demand
• Free Video

Fine-Tuning Qwen-Image-Edit-2509 on Nike Clothing and Poses

Master fine-tuning Qwen-Image-Edit-2509 for Nike product catalogs, from dataset preparation and auto-captioning to training optimization and results comparison.

• YouTube
• 25 minutes
• On-Demand
• Free Video

Training Video Generation with Wan 2.2 - Conan O'Brien and Will Smith Character Consistency

Master video generation with Wan 2.2 by fine-tuning models for character consistency using Conan O'Brien and Will Smith examples, covering architecture, data creation, and ComfyUI integration.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

How DeepSeek R1's Reinforcement Learning Works Through GRPO

Delve into the mechanics of DeepSeek R1's reinforcement learning, exploring GRPO's memory optimization, group advantages, and practical applications in AI model training.

• YouTube
• 35 minutes
• On-Demand
• Free Video

RAGAS - A Framework for Evaluating Retrieval Augmented Generation Systems

Explore RAGAS framework's key evaluation criteria for Retrieval Augmented Generation (RAG) systems, covering faithfulness, answer relevance, and context relevance metrics for improved AI performance.

• YouTube
• 43 minutes
• On-Demand
• Free Video

How to Fine-Tune FLUX-dev and Comparing it to a Fine-Tuned PixArt Model

Master FLUX-dev fine-tuning with LoRA techniques, data requirements, hardware setup, and code walkthrough. Compare results against PixArt models for optimal AI image generation.

• YouTube
• 59 minutes
• On-Demand
• Free Video

Fine-Tuned Qwen-Image-Edit vs Nano-Banana - Generating 1.2 Million Images

Discover how to fine-tune Qwen-Image-Edit for generating 1.2M images while cutting inference costs, comparing performance with Nano-Banana for furniture color variations.

• YouTube
• 44 minutes
• On-Demand
• Free Video

Fine-Tuning Wan 2.1 VACE to Swap Costumes

Master fine-tuning Wan 2.1 VACE model to seamlessly swap actor costumes in post-production using LoRA training, ComfyUI workflows, and professional video editing techniques.

• YouTube
• 53 minutes
• On-Demand
• Free Video

Fine-Tuning a Tab Tab Code Completion Model

Discover how to fine-tune AI models for intelligent code completion, building Cursor-like "tab tab" functionality with practical examples and model comparisons.

• YouTube
• 45 minutes
• On-Demand
• Free Video

How RWKV-7 "Goose" and Its Linear Inference Work

Dive into RWKV-7 "Goose" with author Eugene Cheah, exploring its linear inference capabilities, architecture innovations, benchmarks, and the World Tokenizer, with practical tips for running and fine-tuning this RNN-based model.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video

How Phi-4 Cracked Small Multimodality

Explore the architecture and training process of Phi-4, a small multimodal model, including its mixture of LoRAs approach, vision and audio capabilities, and practical applications.

• YouTube
• 36 minutes
• On-Demand
• Free Video

The Prompt Report: Understanding Prompting Techniques and Taxonomy - Part 1

Explore systematic prompting techniques through an in-depth analysis of template structures, zero-shot methods, emotion prompting, and thought generation approaches for enhanced AI interactions.

• YouTube
• 57 minutes
• On-Demand
• Free Video