Elixir Chatbot Alchemy
Elixir Chatbot Alchemy
Develop a self-hosted chatbot with Elixir, Ollama, Ecto, and Phoenix LiveView
About the Book
Following the same engineering ethos and exploratory learning approach that proved so popular with Northwind Elixir Traders, Elixir Chatbot Alchemy explores the implementation of a chatbot in Elixir. By utilizing the REST API of a self-hosted instance of Ollama and CPU inference on small(-ish) open-weight LLMs, we explore how LLMs operate, the impact of model choice on the quality of inference, and use Phoenix LiveView to build a variety of features, such as document summarization and a chatbot that can be used on a webpage, and an admin UI with reporting of the use of the chatbot.
Note: this is a super-early low-fanfare release, subject to heavy changes of scope and content.
About the Author
Table of Contents
- Before we begin
- About this book
- Software versions used
- License of the code in this book
- Typographic conventions
- Preface
- Chapter 1: Requirements, specifications, and deliberate decisions
- Chapter 2: Creating the Elixir application and making some decisions
- Choosing an LLM suitable for CPU inference
- Taking the LLM for a spin with Elixir
- Understanding the Ollama API’s response
- Chapter 3: Fundamental knowledge of LLMs, and a first chat
- Short conversations
- Implementing a chat using
completion/2
- Failure modes of completion
- Exceeding the context length
- Context compression through summarization
- Chapter 4: GPU-based inference, parallel execution, and scaling
- Summarizing the summaries
- Sidequest: bigger models, better summaries (?)
- Interrogating any text with context stuffing
- Coming soon
- About the Author
- Before we begin
Other books by this author
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