
Byte Pair Encoding — How LLMs Tokenize Text
Byte Pair Encoding (BPE) is the algorithm that turns raw text into tokens — the units every LLM reads, reasons in, and is billed by. This post traces how it …
Path For Your Dream
Path For Your Dream

Byte Pair Encoding (BPE) is the algorithm that turns raw text into tokens — the units every LLM reads, reasons in, and is billed by. This post traces how it …

Part 12 of “My Journey in Building Agents from Scratch” — building a studio where anyone can configure, test, and deploy an agent without writing Python or YAML By the …

Part 11 of “My Journey in Building Agents from Scratch” — building a React portal where teams can discover agents, try them against real use cases, and see what’s happening …

Part 10 of “My Journey in Building Agents from Scratch” — packaging the agent as a Python library and building a self-registration discovery service The agent worked. It handled product …

Part 9 of “My Journey in Building Agents from Scratch” — AI agent vector search with a YAML-driven ingestion pipeline At the end of Part 8, I left a failure unresolved. …

Part 8 of “My Journey in Building Agents from Scratch” — AI agent tool design for structured data By the time I finished the planning module in Part 7, my agent …

Part 7 of “My Journey in Building Agents from Scratch” — building an AI agent planning module AI agent planning module: two-phase plan-then-execute flow showing step list with status The …

Part 6 of “My Journey in Building Agents from Scratch” Building a capable AI agent is straightforward — until it has to make more than one decision to answer a …

Part 5 of “My Journey in Building Agents from Scratch” The Black Box Problem in AI Agent Session Management In my last post, Automating Agent Creation with Templates, I had …

Part 4 of “My Journey in Building Agents from Scratch” Introduction If you want to scale your AI projects, automating agent creation with templates is a game changer. After building …