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brizii

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brizii
·昨年·議論
[flagged]
brizii
·2 年前·議論
Nerfstudio dev here! We have a splatfacto method in nerfstudio that provides a similar interface to our nerf methods.
brizii
·2 年前·議論
my group is currently working on a T5 model (and tokenizer) for html, as there are very few (if any) tokenizers that work well with HTML!

You can try using GPT4's tokenizer on your own HTML inputs below [1] ... there's definitely room for improvement!

[1] https://tiktokenizer.vercel.app
brizii
·3 年前·議論
Location: San Francisco, CA

Remote: Yes

Willing to Locate: Yes

Technologies: PyTorch, WandB, HuggingFace, LangChain, StreamLit, AWS

Résumé: https://ryantabrizi.com/files/resume.pdf

email: [email protected]

[Seeking Internship] 3rd year at UC Berkeley looking for ML engineering and research positions this upcoming summer. My research interests are primarily in multimodal learning and robotics. Currently a researcher at Berkeley AI Research. Looking forward to chatting!
brizii
·3 年前·議論
Your point being?
brizii
·3 年前·議論
did you mean the research on the study of research on the psychology of expertise in weather forecasting?
brizii
·3 年前·議論
I'm not sure I follow. They weren't pleased with the speed at which you completed tasks? I feel this might be specific to your company. I find this to be a very desirable trait, considering most professors at my university won't take undergraduate researchers on the basis that they simply don't complete tasks as quickly as a PhD would. Different contexts but I feel this example still holds some merit.

Also, we're entering a paradigm in which a lot of research is constrained by compute, and it can be very difficult to just "do AI research projects" when such projects involved training policies in virtual environments or designing the next transformer, for instance.