Sandeep79 articles in On-Device AI — page 1 of 4. Practical, up-to-date guides written to be found, answered, and cited.
Audio-Visual Speech Recognition: A Practical Guide for 2027 — a practical 2026 guide to audio visual speech recognition: a practical, updated for 2026.
Audio-Visual Speech Recognition: Interview Questions to Expect in 2027 — a practical 2026 guide to audio visual speech recognition: interview questions.
How Audio-Visual Speech Recognition Works Under the Hood — a practical 2026 guide to under the hood, core concepts, best practices, real data and FAQs.
Audio-Visual Speech Recognition: Mistakes Teams Make and How to Avoid Them — a practical 2026 guide to audio visual speech recognition: mistakes teams.
The Developer's Roadmap to Screen-Understanding Models for Agents — a practical 2026 guide to developer's roadmap to screen understanding models.
Screen-Understanding Models for Agents in Production: Lessons and Pitfalls — a practical 2026 guide to screen understanding models, updated for 2026.
Screen-Understanding Models for Agents: A Practical Guide for 2027 — a practical 2026 guide to screen understanding models, for developers and founders.
Screen-Understanding Models for Agents: Interview Questions to Expect in 2027 — a practical 2026 guide to screen understanding models, updated for 2026.
Is Multimodal RAG Ready for Prime Time? An Honest Assessment — a practical 2026 guide to multimodal RAG ready, for developers and founders, updated for 2026.
Getting Started With Multimodal RAG: A Developer Walkthrough — a practical 2026 guide to getting started, core concepts, best practices, real data and FAQs.
Teaching an AI to Read Screenshots: Screen Models Explained — a practical 2026 guide to teaching an AI to read, for developers and founders, updated for 2026.
The Developer's Roadmap to Multimodal RAG — a practical 2026 guide to developer's roadmap to multimodal RAG, for developers and founders, updated for 2026.
Multimodal RAG in Production: Lessons and Pitfalls — a practical 2026 guide to multimodal RAG, core concepts, best practices, real data and FAQs.
How Any-to-Any Multimodal Models Works Under the Hood — a practical 2026 guide to under the hood, core concepts, best practices, real data and FAQs.
Any-to-Any Multimodal Models: Mistakes Teams Make and How to Avoid Them — a practical 2026 guide to any to any multimodal models: mistakes teams.
Is Any-to-Any Multimodal Models Ready for Prime Time? An Honest Assessment — a practical 2026 guide to any to any multimodal models ready, updated for 2026.
Getting Started With Any-to-Any Multimodal Models: A Developer Walkthrough — a practical 2026 guide to getting started, for developers and founders.
Vision-Language Models: A Practical Guide for 2027 — a practical 2026 guide to vision language models: a practical guide, for developers and founders.
Vision-Language Models: Interview Questions to Expect in 2027 — a practical 2026 guide to vision language models: interview questions, updated for 2026.
How Vision-Language Models Works Under the Hood — a practical 2026 guide to under the hood, core concepts, best practices, real data and FAQs.
Vision-Language Models: Mistakes Teams Make and How to Avoid Them — a practical 2026 guide to vision language models: mistakes teams, updated for 2026.
When Should You Choose a Small Model Over a Frontier LLM — a practical 2026 guide to choose a small model over, for developers and founders, updated for 2026.
How to Cut Inference Cost by Moving Vision Models to the Edge — a practical 2026 guide to cut inference cost by moving, for developers and founders.
Why Small On-Device Models Are Beating Giants at Narrow Tasks — a practical 2026 guide to beating giants, core concepts, best practices, real data and FAQs.