@OfficialLoganK Please bring back 03-25! It was the best LLM I ever used.
05-06 is such a massive downgrade in instruction following and creativity. It even just breaks in the middle of an answer.
People have too inflated sense of what it means to "ask an AI" about something. The AI are language models trained basically by imitation on data from human labelers. Instead of the mysticism of "asking an AI", think of it more as "asking the average data labeler" on the internet.
Few caveats apply because e.g. in many domains (e.g. code, math, creative writing) the companies hire skilled data labelers (so think of it as asking them instead), and this is not 100% true when reinforcement learning is involved, though I have an earlier rant on how RLHF is just barely RL, and "actual RL" is still too early and/or constrained to domains that offer easy reward functions (math etc.).
But roughly speaking (and today), you're not asking some magical AI. You're asking a human data labeler. Whose average essence was lossily distilled into statistical token tumblers that are LLMs. This can still be super useful ofc ourse. Post triggered by someone suggesting we ask an AI how to run the government etc. TLDR you're not asking an AI, you're asking some mashup spirit of its average data labeler.
1/ 😎 Meta's neuestes AI-Modell ist so leistungsfähig wie die größten Modelle von OpenAI und Anthropic. Es ist Open Source und modifizierbar. Damit wird es möglich, viele spezialisierte Versionen zu erstellen, die in bestimmten Bereichen herausragend sind.
3/ 🔒 Ein spezielles, auf eine Marke abgestimmtes AI-Modell kann so immer besser darin werden, genau diese Marke zu verstehen, ohne dass die "Secret Sauce" außerhalb der Firma landet. Das Modell kann – Kleingeld vorausgesetzt – komplett InHouse betrieben werden. Ein GameChanger!
@dhh Habe you tried, putting the middle of the cone at the exact height of your ears? Might make another difference. And if that’s not nerdy enough, try to place them a little farer away, so that half the distance between you and the speakers is not reflective (the table)