All Blogs
What are Small Language Models (SLMs) and When Should We Use Them?
Small Language Models (SLMs) are language models with typically less than 10 billion parameters. They are cheaper and faster, and can run on our own devices.
What is Multimodal AI? How It Works and Where It Is Used
Multimodal AI is AI that can understand and generate more than one type of data, like text, images, audio, and video, at the same time.
What is LLM Routing? How to Send Each Query to the Right LLM
LLM Routing is the practice of choosing the right LLM for each user query, based on cost, latency, and quality, instead of sending every query to the same LLM.
What is Context Engineering?
Context Engineering is the practice of deciding what information goes into an LLM's context window, and how, so that the model can do its task reliably.
What is a Reflection Agent? How It Generates, Critiques, and Revises
A Reflection Agent is an AI Agent that writes a draft, critiques its own draft, and then writes a better version using that critique, again and again.
What is Speculative Decoding and How Does It Make LLMs Faster?
Speculative Decoding makes LLMs 2x to 3x faster. A small draft model guesses the next few tokens, and the big model verifies them all in one run, with no quality loss.
What is GraphRAG? How Knowledge Graphs Improve RAG
GraphRAG is RAG that uses a knowledge graph along with vector search to find better, more connected information before the LLM answers a question.
What is a Plan-and-Execute Agent and How Does It Work?
A Plan-and-Execute Agent is an AI Agent that first writes the full plan up front and then runs the plan step by step. Let's see how it differs from ReAct.
What is Agentic RAG? How It Works and When to Use It
Agentic RAG is a RAG system where an AI Agent decides when to search, what to search, and when to stop, instead of doing one fixed search before answering.