The AI Merge

The AI Merge

AI Foundations

Local LLM Inference : llama.cpp, GGUF, Quantizations and GGML Explained
Learn how the llama.cpp runtime, GGML backend concepts, and GGUF model format fit together for fast local inference across devices.
 • Alex Razvant
Upcoming Livestream: GPUs for AI (Shaped by You)
You can choose the topics for a Live Session on GPUs in AI
 • Alex Razvant
The Smartest AI Engineers Will Bet on This in 2026
A no-BS breakdown of where to invest your time, backed by real industry insights.
 • Alex Razvant
An AI Engineer's Guide To Choosing GPUs
A deep dive on technical Hardware and Software details of NVIDIA GPUs for AI Workloads.
 • Alex Razvant
My Best Recent Guides for AI Engineers
A curated list of the most actionable guides I’ve published in the past months.
 • Alex Razvant
Video Lesson on Advanced Multimodal AI Concepts
Low-level details about the Video Format. Contrastive Learning, CLIP Model, How VLMs work, Transformers vs CNNs and Context Learning
 • Alex Razvant
How to add structure to your LLM Applications using SGLang
Unpacking SGLang technicals, RadixAttention and fast decoding for Structured Output.
 • Alex Razvant
How does vLLM serve LLMs at scale?
The Online/Offline API modes, PagedAttention and distributed inference with Ray.
 • Alex Razvant
Understanding LLM Optimization Techniques
Weights quantization using GPTQ, BitsAndBytes. Parallelism techniques, KV-caching, Flash Attention and Speculative Decoding.
 • Alex Razvant
Understanding LLM Inference
Explaining LLM pre-fill and generation phases, unpacking model configuration files from HuggingFace.
 • Alex Razvant
The AI/ML Engineer's starter guide to GPU Programming
#1 Programming on GPUs from scratch by implementing CUDA Kernels in C++, CuPy Python and OpenAI Triton.
 • Alex Razvant
Complete Overview in Vision AI 2025
From Pixels to Vision Language Models. Updated periodically.
 • Alex Razvant
© 2026 Alex Razvant · Privacy ∙ Terms ∙ Collection notice
Start your SubstackGet the app
Substack is the home for great culture