Oh, hmm, no idea. I certainly wouldn’t put it past them to choose even more confusing naming, though…
You’re doubly confused. You’re thinking of GitHub Copilot, when this is about M365 Copilot. Last I heard, they have 78 different products called Something Copilot, so confusion is understandable.
But then what you’re actually thinking of is the “GPT” series of large language models, developed by OpenAI.
GitHub Copilot is merely a GUI and a harness for large language models. It defaults to the GPT models, and is probably somewhat optimized for them, but it can use other models as well.
This harness can influence the quality quite a bit, as it decides which source code files to feed into the model for context. I’m not aware of people saying that GitHub Copilot is particularly good at that, but it’s available as an extension for IDEs, so it automatically knows which files you’re editing, which can be useful.
And yes, the GPT models have fallen quite a bit behind since the start of the year.
Verstehe ich auch echt nicht. Also ja, manche der Zutaten sind günstiger, deswegen wird man die wahrscheinlich beimischen. Aber da ist ja trotzdem pro Zutat ein gewisser Aufwand für Einkauf, Logistik und Verarbeitung dabei.
Also z.B. hätte man sich ja entweder für Himbeersaftkonzentrat oder für natürliches Himbeeraroma entscheiden können. Beides zu nehmen, wirkt einfach nur irrational…