Practical Artificial Intelligence Development With Racket

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Practical Artificial Intelligence Development With Racket18 chapters

Begin
  1. Preface

  2. A Quick Racket Tutorial

  3. Datastores

  4. Implementing a Simple RDF Datastore With Partial SPARQL Support in Racket

  5. Web Scraping

  6. Interfacing with External Programs: A Lightpanda Browser Client

  7. Building a MicroGPT in Racket

  8. Using the Google Gemini, OpenAI, Anthropic, Mistral, and Local Hugging Face Large Language Model APIs in Racket

  9. Ollama Tools/Function Calling in Racket

  10. A Racket Coding Agent

  11. Retrieval Augmented Generation of Text Using Embeddings

  12. Deep Learning in Racket with Malt: From XOR to a Two-Tower Recommendation System

  13. Category-Theory Deep Learning in Racket

  14. Natural Language Processing

  15. Knowledge Graph Navigator

  16. Implementing OPS5 in Racket: A Forward-Chaining Production System

  17. Logic Programming with Racklog: Two Classic Problems Revisited

  18. Conclusions