They is no chance they are the one training it. It costs hundreds of millions to get a descent model. Seems like they will be using mistral, who have scrapped pretty much 100% of the web to use as training data.
They is no chance they are the one training it. It costs hundreds of millions to get a descent model. Seems like they will be using mistral, who have scrapped pretty much 100% of the web to use as training data.
Buying second hand 3090/7090xtx will be cheaper for better performances if you are not building the rest of the machine.
You are limited by bandwidth not compute with llm, so accelerator won’t change the interferance tp/s
I use similar feature on discord quite extensively (custom emote/sticker) and i don’t feel they are just a novelty. Allows us to have inside joke / custom reaction to specific event and I really miss it when trying out open source alternatives.
Too be fair to Gemini, even though it is worse than Claude and Gpt. The weird answer were caused by bad engineering and not by bad model training. They were forcing the incorporattion off the Google search results even though the base model would most likely have gotten it right.
The training doesn’t use csam, 0% chance big tech would use that in their dataset. The models are somewhat able to link concept like red and car, even if it had never seen a red car before.
The models used are not trained on CP. The models weight are distributed freely and anybody can train a LORA on his computer. Its already too late to ban open weight models.
They know the tech is not good enough, they just dont care and want to maximise profit.
It is already here, half of the article thumbnails are already AI generated.
It works with plugin juste like obsidian, so if their implémentation is not gold enough, you can always find a gramarly plugin.
It does not work exactly like obsidian as it is an outliner. I use both on the same vault and logseq is slower on larger vault.
It works pretty well. You can create a good dataset for a fraction of the effort and price it would have required to do it by hand. The quality is similar. You just have to review each prompt so you don’t train your model on bad data.
Do you use comfyui ?
Being able to run benchmarks doesn’t make it is a great experience to use unfortunately. 3/4 of applications don’t run or have bugs that the devs don’t want to fix.
Windows is not fine with ARM, which can be a turnoff for some.
Llama models tuned for conversation are pretty good at it. ChatGPT also was before getting nerfed a million time.
JPEG-XL support is being tested in firefox nightly
I think that for most people linux is the most simple OS to use, switched my parents and sister computer to Linux Mint and they don’t ask me to help them with windows changing their browser or moving their icons every two weeks. Though if you are trying to do anything more than web browsing, document editing and listening to music, you will have to learn how some of the os works.
Mistral modèles don’t have much filter don’t worry lmao