So I’ve written a blog about inference in language models using KV Cache.
This blog is for anyone who is interested in understanding how language models like ChatGPT work.
And yes – even people with little to no background in the subject are absolutely welcome!
I’ve explained many of the prerequisite concepts (in a very intuitive way, often alongside detailed diagrams). These include: • What tokens and embeddings are • How decoders and attention work • What inference means in the context of language models • How inference actually works step-by-step • The inefficiencies in standard inference • And finally, how KV Cache helps overcome those inefficiencies
Do check it out.
submitted by /u/Saad_ahmed04 to r/learnmachinelearning
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