Sandeep79 articles in On-Device AI — page 3 of 4. Practical, up-to-date guides written to be found, answered, and cited.
The Complete Guide to Speculative Decoding for Faster Inference — a practical 2026 guide to speculative decoding, for developers and founders.
How to Compress a 7B Model to Run on 4GB of RAM — a practical 2026 guide to compress a 7b model, core concepts, best practices, real data and FAQs.
NPU vs GPU for On-Device Inference: What Actually Matters — a practical 2026 guide to NPU vs GPU, core concepts, best practices, real data and FAQs.
What Is a Multimodal RAG Pipeline and How Do You Build One — a practical 2026 guide to multimodal RAG pipeline, for developers and founders, updated for 2026.
How to Run Whisper on a Phone Without an Internet Connection — a practical 2026 guide to run whisper, core concepts, best practices, real data and FAQs.
Edge AI Trends to Watch in 2026 — a practical 2026 guide to edge AI trends to watch, core concepts, best practices, real data and FAQs, updated for 2026.
How CLIP Powers Modern Vision-Language Understanding — a practical 2026 guide to modern vision language understanding, for developers and founders.
On-Device AI Interview Questions Every ML Engineer Should Prep — a practical 2026 guide to prep, core concepts, best practices, real data and FAQs.
How to Get Started With TensorFlow Lite for Micro — a practical 2026 guide to started, core concepts, best practices, real data and FAQs, updated for 2026.
What Are Multimodal Embeddings and Why Do They Matter — a practical 2026 guide to multimodal embeddings, core concepts, best practices, real data and FAQs.
Phi-3 vs Gemma 2: The Best Small Model for Your Device — a practical 2026 guide to phi 3 vs gemma 2:, core concepts, best practices, real data and FAQs.
How to Fine-Tune SmolLM for a Custom Edge Task — a practical 2026 guide to fine tune smollm, core concepts, best practices, real data and FAQs.
Small Language Models vs Large Language Models: Picking the Right Size — a practical 2026 guide to small language models vs large, by Sandeep Kumar Chaudhary.
Is Running LLMs Locally Worth It in 2026 — a practical 2026 guide to running LLMs locally worth it, core concepts, best practices, real data and FAQs.
Gemini Nano Explained: On-Device AI Inside Your Android Phone — a practical 2026 guide to Gemini nano explained: on device AI, for developers and founders.
How to Deploy a Vision-Language Model to a Raspberry Pi — a practical 2026 guide to deploy a vision language model, for developers and founders.
What Is Quantization and How Does It Enable Mobile AI — a practical 2026 guide to quantization, core concepts, best practices, real data and FAQs.
The Future of On-Device AI: Trends Shaping 2027 — a practical 2026 guide to future of on device ai: trends, core concepts, best practices, real data and FAQs.
How Knowledge Distillation Shrinks Large Models Without Losing Accuracy — a practical 2026 guide to knowledge distillation shrinks large models.
Apple Foundation Models vs Gemini Nano: On-Device Showdown — a practical 2026 guide to apple foundation models vs Gemini, for developers and founders.
TinyML for Beginners: Your First On-Device Model — a practical 2026 guide to TinyML, core concepts, best practices, real data and FAQs, updated for 2026.
How to Build a Real-Time Image Captioning App With SmolVLM — a practical 2026 guide to real time image captioning app, for developers and founders.
What Is Edge Inference and When Should You Use It — a practical 2026 guide to edge inference, core concepts, best practices, real data and FAQs.
Qwen2-VL vs LLaVA: Which Vision-Language Model Is Better — a practical 2026 guide to qwen2 vl vs llava:, core concepts, best practices, real data and FAQs.