A continuation from task #15. Should include an in-depth description of the technology behind the LLMs and of the training and inference. Finish the section
This issue should neatly be tied together with #43
Acceptance criteria:
[x] A section describing the neural networks and how the Transformer architecture differs from the RNN
[ ] How LLMs are trained/finetuned
[ ] How LLMs inference
[x] What is a transformer? These are important
[ ] Pros and cons of local vs cloud-based solutions
Der mangler stadig noget om Local vs. Cloud LLMs, men derudover er opgaven sat on hold, da jeg gerne vil have afklaret med Peter om hans forventninger til om hvor omfattende emnet skal være.
A continuation from task #15. Should include an in-depth description of the technology behind the LLMs and of the training and inference. Finish the section
This issue should neatly be tied together with #43
Acceptance criteria: