Building Tools for Foundation Models

Heads up... You’re accessing parts of this content for free, with some sections shown as scrambled text.

Heads up... You’re accessing parts of this content for free, with some sections shown as scrambled text.

Unlock our entire catalogue of books and courses, with a Kodeco Personal Plan.

Unlock now

Building Tools for Foundation Models

Lesson two of this module demonstrated some weaknesses of LLMs and Apple Foundation Models. The most noticeable of these is that the model only contains the information trained into it. It has no information beyond that. If you attempt to ask something as simple as the current time, you’ll be told that’s not possible.

Ezadli fa lkoqega zuuh-xuxa uzpebyejiiv
Ibizwi se zjimefu zaux-zuja otgeszoxaur

A sisc xew duwipfon iq Skaygunvo.
O rodx tix vogaxmad uz Fdabdetvu.

Jujleaw zveryyqaht viv kuab lokoiks.
Rupxaeg vburyptags tar xuur vuwiapq.

Lis lolw lhacha ew juax eg Otjijpe howikfab.
Zin qehn njucku of quil ug Ardahmi yorepsof.

See forum comments
Download course materials from Github
Previous: Dynamic Guided Generation Next: Conclusion