In-depth technical guides, deterministic prompt architectures, model mechanics, and production insights directly from Yadlapalli Avinash Ricky.
Looking for the best prompt engineering books to master generative AI? Here is an objective, technical comparison of the 7 leading books in 2026—from O'Reilly developer textbooks to hands-on practitioner blueprints.
Conversational prompts break when connected to backend code. Learn how to structure PCO blueprints, delimited scratchpads, and deterministic JSON schemas across OpenAI, Anthropic, and Google models.
AviGPT is an open-source 183M parameter decoupled transformer engineered by Yadlapalli Avinash Ricky. By streaming dormant FFN blocks over a 1.18ms NVMe bus, it achieves full FP16 edge generation inside a 0.4GB RAM footprint (Zenodo DOI: 10.5281/zenodo.22856047).
Stop relying on loose, conversational prompts for software and data pipelines. Learn the 5 deterministic prompt patterns that eliminate ambiguity and guarantee reproducible JSON outputs.
Hallucination is not a bug; it is the natural consequence of probabilistic next-token prediction. Discover how to architect strict citations and fallback triggers into your system prompts.
Both Claude Artifacts and ChatGPT Canvas have revolutionized generative coding. However, prompting them requires entirely distinct mental models. Here is how their underlying instructions work.