HuggingFace Space: tahamajs/Blog

Hoosha AI โ€” Substack & Technical Research Journal

20 Deep-dive AI engineering essays, multi-part research series, and mathematical derivations on Flow Matching ODEs, GRPO alignment, and CUDA kernels by Mohammad Taha Majlesi.

๐Ÿ“š Multi-Part Series 4 Chapters

Adaptive RAG & Retrieval Masterclass

Teaching models when to retrieve, probing knowledge boundaries, and eliminating naive RAG bottlenecks.

Part 1

The Hidden Costs of Naive Retrieval: Adaptive RAG, Part 1

๐Ÿ“– 12 min read ยท 3,599 words ยท Sep 1, 2025
Read on Substack โ†—
Part 2

Deciding When Not to Retrieve: Adaptive RAG, Part 2

๐Ÿ“– 9 min read ยท 2,242 words ยท Sep 21, 2025
Read on Substack โ†—
Part 3

Probing LLMs' Knowledge Boundary: Adaptive RAG, Part 3

๐Ÿ“– 18 min read ยท 6,071 words ยท Sep 27, 2025
Read on Substack โ†—
Part 4

Teaching Models to Decide When to Retrieve: Adaptive RAG, Part 4

๐Ÿ“– 22 min read ยท 7,573 words ยท Oct 5, 2025
Read on Substack โ†—
๐ŸŒŠ Flow Matching Series 3 Chapters

Continuous Flow Matching & ODE Trajectories

Mathematical foundations of Conditional Flow Matching (CFM), simulation-free ODE velocity alignment, and optimal transport vector fields.

Part 1

Flow Matching vs Diffusion SDEs: Velocity Vector Fields

๐Ÿ“– 14 min read ยท 4,210 words ยท Jul 12, 2025
Read on Substack โ†—
Part 2

Optimal Transport Straight Paths for Fast ODE Integration

๐Ÿ“– 19 min read ยท 5,890 words ยท Aug 4, 2025
Read on Substack โ†—
Part 3

Scaling Flow Matching to 70B Parameter Multimodal Diffusion

๐Ÿ“– 25 min read ยท 8,120 words ยท Aug 29, 2025
Read on Substack โ†—