Genesis Ai @_genesis_ai_
I code in parallel Joined February 2018-
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There are only 2 possible reasons to delay weights: 1. It sucks 2. You stole something and want to know if ppl can figure it out You can jailbreak any open source model with some simple trained kv-injections so "safety" is bs.
There are only 2 possible reasons to delay weights: 1. It sucks 2. You stole something and want to know if ppl can figure it out You can jailbreak any open source model with some simple trained kv-injections so "safety" is bs.
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I prefer code, but this one is an exception.
One of the most efficient ways of wasting compute is to use JSON in LLMs. Not to mention the degradation of perplexity... Don't take my word for it tho, just inspect the attention weights when using MCPs or force the output to follow a JSON schema.
Got a really stupid idea this morning BUT seems its possible to solve arithmetic in ML by just tokenizing smarter and do selective activations. It also solves strawberrry out of the box.
2 år sedan, börjar ju endå bli dags för en remake med senaste modellerna
2 år sedan, börjar ju endå bli dags för en remake med senaste modellerna
Oavsett q*, agi eller troll är det otroligt underhållande 🍓🍓🍓
Oavsett q*, agi eller troll är det otroligt underhållande 🍓🍓🍓
Väldigt sugen på skruva isär FLUX.1 i helgen, någon som byggt något ballt med den?
Så vår senaste språkmodell (LLM) ser ut att bli starkast i norden, med marginal. Nu ska jag bara övertala ägargruppen att vi ska open sourca 😬
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