All Blogs
How does LangChain work?
In this blog, we will learn about how LangChain works. We will also see why we need it, what chains, prompts, memory, and output parsers are, how retrieval and agents fit in, and how the full flow works together in the real world.
How does SGLang work?
In this blog, we will learn about how SGLang works. We will also see what problem it solves, how it makes serving large language models faster, and the clever ideas that make it special.
How does Approximate Nearest Neighbor (ANN) search work?
In this blog, we will learn about Approximate Nearest Neighbor (ANN) Search, the idea that lets apps find "similar" things in a huge collection in the blink of an eye. It powers search engines, recommendation systems, face matching, and the memory behind modern AI chatbots. We will also see why the naive approach fails, how trees, hashing, clustering, and graphs make the search fast, and where ANN search is used in the real world.
How does a Google TPU work?
In this blog, we will learn about how a Google TPU works. We will also see what a TPU is, why Google built it, how it is different from a CPU and a GPU, and how it makes machine learning fast.
How do Image Embeddings work?
In this blog, we will learn about how image embeddings work. We will also see why we need image embeddings, how a computer turns a picture into numbers, how we measure the similarity between two of them, and where they are used in the real world.
How do Computer-Use Agents work?
In this blog, we will learn about how computer-use agents work.
Decoding Sakana Fugu Technical Report
In this blog, we are going to learn about Sakana Fugu, a family of AI models that work like a conductor for a team of other AI models.
How do Diffusion Language Models (DLMs) work?
In this blog, we will learn about Diffusion Language Models (DLMs), a new way to make models write text. They promise to generate words in a different way than the LLMs we use today, and that too much faster in many cases.
How does an Embedding Cache work?
In this blog, we will learn about how an Embedding Cache works. We will also see what an embedding is, why an Embedding Cache saves us a lot of money and time, how the cache key is built, and where it is used in real systems like RAG and semantic search.