3min chapter

Practical AI: Machine Learning, Data Science, LLM cover image

Elixir meets machine learning

Practical AI: Machine Learning, Data Science, LLM

CHAPTER

Axsom

Ani: I think one of the reasons for that's because the foundation are just functions. Weare just building functions on top of soit's, it's very easy to to compose. And working at those different layers, when you're working at axe or inexceent, you're really at a high level. Ani: What i think what takes more time than discussion is when we need to change that apology,. That requires, o think, votalty the structis going to represent that pes up. If you have a gan or a recurring, newer network. No, have to think like, oh, if it's recurring, now to get the data fitted back inside

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