Add beginner-friendly blog post explaining VLAs and diffusion models#5
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AKHIL-149 wants to merge 2 commits intokeivalya:mainfrom
Open
Add beginner-friendly blog post explaining VLAs and diffusion models#5AKHIL-149 wants to merge 2 commits intokeivalya:mainfrom
AKHIL-149 wants to merge 2 commits intokeivalya:mainfrom
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This blog post provides a comprehensive introduction to: - What Vision-Language-Action (VLA) models are and why they matter - Why diffusion models are effective for generating robot actions - How mini-VLA is designed (encoders, fusion, diffusion head) - Complete training and evaluation pipeline Written in an accessible, beginner-friendly style with clear explanations, analogies, and step-by-step walkthroughs. Addresses issue keivalya#1
This commit adds detailed architecture documentation with ASCII diagrams and mermaid-style visualizations for: 1. Vision Encoder (ImageEncoderTinyCNN) - Layer-by-layer breakdown with dimensions - Design choices and example transformations 2. Text Encoder (TextEncoderTinyGRU) - GRU internal mechanism - Token embedding and sequence processing 3. Fusion Module (FusionMLP) - Multi-modal concatenation and fusion - Information flow visualization 4. Diffusion Head (DiffusionPolicyHead) - Forward and reverse diffusion processes - Sinusoidal time embeddings - Beta schedules and sampling procedures 5. Complete VLA Pipeline - End-to-end data flow - Training and inference loops - Parameter counts and memory usage Also includes scaling considerations for future development of MT10/MT50 multi-task capabilities. Addresses issue keivalya#2
Owner
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Thanks for your contribution, however I was looking for some seperate format and language of tutorials. Check them out at Thanks for your time and efforts into it! I truly appreciate it. |
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Summary
This PR adds a comprehensive, beginner-friendly blog post that addresses issue #1.
Content Covered
The blog post explains:
Style
File Added
BLOG.md- Complete blog post (~3500 words)Closes #1