Abhilasha Singh

Long-Horizon Task Agents

For years, AI systems handled short interactions. Now we are moving toward agents that plan, adapt, and execute over long horizons.

Voice Conversational Agents

What is a Voice agent? Exploring the architecture and design of real-time voice AI systems.

Heizen: The AI-Native SDLC Platform

Designing an AI-native software development lifecycle platform from first principles.

AI for Product Documents

When deep learning first showed up, it felt like magic. Applying it to product documentation pipelines.

Agentic Agile

An introduction to Agentic Agile — rethinking agile methodology with AI agents in the loop.

What is RAG? (60-sec explainer)

Retrieval-Augmented Generation explained in under a minute — why LLMs hallucinate and how grounding in a knowledge base fixes it.

How Attention Works in Transformers

Visual walkthrough of the self-attention mechanism — queries, keys, values, and why the dot-product matters.

Vector Databases in 60 Seconds

What vector databases are, how similarity search works, and when you actually need one vs. a regular database.

The Agent Loop Explained

Perceive → plan → act → observe. How modern AI agents work, from ReAct to tool-calling, in a short visual format.

Attention Is All You Need

Vaswani et al. · NeurIPS 2017

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Dosovitskiy et al. · ICLR 2021

Learning Transferable Visual Models From Natural Language Supervision

Radford et al. · ICML 2021

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Lewis et al. · NeurIPS 2020