In this article, you will learn how speculative decoding works, why it produces real speed gains at the hardware level, and what modern implementations look like in practice.
Author Archive | Vinod Chugani
How to Build a Multi-Modal RAG Pipeline for Images and Documents in Python
Build a multi-modal RAG pipeline in Python to retrieve both text and images from complex documents.
Building a Custom LLM Evaluation Harness in Python from Scratch
In this article, you will learn how to build a custom LLM evaluation harness in Python from scratch, structured around four modular components that give you full control over how your models are tested and scored.
AI Agent Benchmarks Explained: SWE-Bench, GAIA, WebArena, and More
In this article, you will learn what the major AI agent benchmarks measure, how they differ from traditional model benchmarks, and how to use them as directional signals rather than performance guarantees.
How to Fine-Tune Llama 3 for Custom Tool Calling with Unsloth in Python
In this article, you will learn how to fine-tune Llama 3 8B for custom tool calling using Unsloth and QLoRA, so that the model reliably outputs structured JSON payloads for a specific API schema.
Choosing the Right Agentic AI Framework for 2026: A Decision-Tree Approach
In this article, you will learn how to choose the right agentic AI framework for your production system by working through a structured decision-tree based on your workload’s actual requirements.
The Roadmap to Mastering Voice Agents
Learn what voice agents are, how they differ from text-based AI systems, and how to build your knowledge from the ground up using a structured seven-stage roadmap.
A Gentle Introduction to Model Distillation
In this article, you will learn what model distillation is, how it has evolved for large language models, and why it has become one of the most contested topics in the AI industry.
How to Combine Traditional Machine Learning with Agentic Reasoning
In this article, you will learn where traditional machine learning reaches its limits, what agentic reasoning adds, and how combining the two produces AI systems more capable than either approach alone.
Chain of Thought vs. Tree of Thoughts: Which is Best for AI Agents?
Compare Chain of Thought and Tree of Thoughts reasoning to understand which approach best fits your AI agent.