AI Research
Adversarial Reprogramming Neural Cellular Automata: A Field Guide
I remember staring at a stack trace in early 2025, trying to figure out why a production image classifier was hallucinating fractal patterns on edge cases. T...
AI in Mathematics Forcing Questions: Lessons from Production
I remember the day a mathematician asked me: "Can your AI force a question?" We were at a conference in March 2026, and she was frustrated. Her PhD students ...
What Is Speculative Decoding? A Practical Guide for 2026
We were shipping a real-time document summarisation product at SIVARO in early 2024. The transformer we’d fine-tuned was fast — on a single A100 it could...
Does Speculative Decoding Reduce Accuracy? A Practical Guide for Engineering Leaders
I spent three months last year trying to get speculative decoding to work in production. The first deployment crashed. The second one silently corrupted ever...
Does Speculative Decoding Reduce Accuracy? A Practitioner's Guide
I built my first speculative decoding system in early 2024. The marketing said 2x speedup with zero accuracy loss. I believed it. Four months later, I was de...
Is Speculative Decoding Still Used? A 2026 Field Guide
Let me tell you a story. Back in early 2024, I was sitting in a conference room with a team from a major streaming platform. They were running GPT-4-class mo...
How Does an LLM Do Inference? The Real Mechanics Behind the Magic
You've typed a prompt. You hit enter. A few seconds later, words appear. But what actually happens in that moment? I'm NISHAANT DIXIT, founder of SIVARO. We'...
RAG in LLMs: What It Actually Means and Why It Matters
Let me cut through the noise. I've been building production AI systems since 2018 at SIVARO. In 2023, I watched a dozen startups raise millions on "RAG-power...
RAG in LLMs: What It Actually Means When You're Building for Production
You're staring at a hallucination from your LLM. It's quoting a study that doesn't exist. Citing a paper from a journal that changed its name in 2019. Recomm...
What Are Long-Context LLMs? A Practitioner’s Guide
I spent six months in 2023 trying to get a 100-page legal contract analyzed by GPT-4. It kept forgetting the third paragraph. I’d chunk the document, stitc...
What Does RAG Mean in LLM? A Practitioner's Guide to Retrieval-Augmented Generation
I spent 2023 watching teams deploy LLMs into production. Most of them failed. Not because the models weren't smart enough — they were. They failed because ...
what does rag mean in llm? A Practitioner’s Guide to Retrieval-Augmented Generation
I spent six months in 2023 building a customer support bot for a logistics company. We fine-tuned a Llama 2 13B model on their ticket data. Results were okay...
What Is a RAG Pipeline? A Practitioner’s Guide
I spent six months in 2023 building a chatbot for a logistics client. We used a fine-tuned GPT-3.5. It cost us $12,000 in API credits, hallucinated shipment ...
What Is a RAG Pipeline? A Practitioner's Guide
I spent six months in 2023 building what I thought was the perfect RAG system. It failed. Not because the retrieval was bad or the generation was weak — bu...
What Is a RAG Pipeline? A Practitioner’s Guide to Production-Grade Retrieval-Augmented Generation
--- --- Let me tell you what a RAG pipeline is not. It’s not a magic wand that makes your LLM stop hallucinating. It’s not a “plug and play” library ...
What Is a RAG Pipeline? The Architect's Guide
Here's the thing about RAG pipelines: everyone talks about them, most implement them badly, and almost nobody admits how much they struggled getting them to ...
What Is the Theory of Mixture of Experts? A Practitioner's Guide
I remember the exact moment I realized single models were dead ends. It was 2019. We were building a recommendation system at SIVARO for a client. The data w...