[OpenAI] Whisper - Robust Speech Recognition via Large-Scale Weak Supervision
ยท
๐Ÿ‘พ Deep Learning
https://arxiv.org/abs/2212.04356 Robust Speech Recognition via Large-Scale Weak Supervision We study the capabilities of speech processing systems trained simply to predict large amounts of transcripts of audio on the internet. When scaled to 680,000 hours of multilingual and multitask supervision, the resulting models generalize well to standard arxiv.org Robust Speech Recognition via Large-Sca..
TDD (Test Driven Development)๋ž€?
ยท
๐Ÿƒ Routine
https://festa.io/events/3791 ํ•œ๋น›N MSA - #2 TDD | Festa! Festa์—์„œ ๋‹น์‹ ์ด ์ฐพ๋Š” ์ด๋ฒคํŠธ๋ฅผ ๋งŒ๋‚˜๋ณด์„ธ์š”. festa.io ์ฃผ๋‹ˆ์–ด ๊ฐœ๋ฐœ์ž๋ฅผ ์œ„ํ•œ TPO for TDD "๊ฒฝํ—˜์„ ์••์ถ•ํ•œ ์•Œ๊ณ ๋ฆฌ์ฆ˜ ๋งŒํ•œ ๊ฒƒ์ด ์—†๋‹ค." - ์ •๋ณด๋žŒ ๊ฐ•์‚ฌ๋‹˜ TDD ๊ฐœ๋ฐœ ๋ฐฉ๋ฒ•๋ก ์˜ ์ง„ํ™” ๊ตฌ์กฐ์  ๊ธฐ๋ฒ• (1970 ๋ณต์žก์„ฑ ๊ทน๋ณต) monologic ์ •๋ณด๊ณตํ•™ ๊ธฐ๋ฒ• (1980 ์ž๋™ํ™”) ๊ฐ์ฒด์ง€ํ–ฅ ๊ธฐ๋ฒ• (1990 ๋ชจ๋“ˆํ™”) ์‚ฌ์šฉ์ž ๊ด€์ ์˜ ์„œ๋น„์Šค ์„ค๊ณ„ CBD ๊ธฐ๋ฒ• (2000 ์žฌ์‚ฌ์šฉ) component ๊ฐœ๋ฐœ, ์žฌ์‚ฌ์„ฑ ์ฆ๊ฐ€ Agile ๊ธฐ๋ฒ• (2010 ์ ์‹œ์„ฑ) TDD ๋ฐฉ๋ฒ•๋ก  ** MSA (micro service architecture) ์ผ๋ฐ˜์ ์ธ ๊ฐœ๋ฐœ ๋ฐฉ์‹ ๊ณ„ํš - ๊ณ„ํš์„œ ์š”๊ตฌ๋ถ„์„ - ์š”๊ตฌ ๋ถ„์„ (TDD) ์„ค๊ณ„ - ์„ค๊ณ„..
Apache Parquet(ํŒŒ์ผ€์ด)
ยท
๐Ÿ›ข๏ธ Database
https://parquet.apache.org/docs/concepts/ Concepts Glossary of relevant terminology. parquet.apache.org Motivation ์šฐ๋ฆฌ๋Š” Parquet๋ฅผ ๊ฐœ๋ฐœํ•œ ์ด์œ ๋Š” ์••์ถ•๋œ ํšจ์œจ์ ์ธ columnar data ํ‘œํ˜„์˜ ์žฅ์ ์„ Hadoop ์ƒํƒœ๊ณ„์˜ ๋ชจ๋“  ํ”„๋กœ์ ํŠธ์—์„œ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•˜๊ธฐ ์œ„ํ•ด์„œ์ž…๋‹ˆ๋‹ค. Parquet์€ ๋ณต์žกํ•œ ์ค‘์ฒฉ ๋ฐ์ดํ„ฐ ๊ตฌ์กฐ๋ฅผ ๊ณ ๋ คํ•˜์—ฌ ๊ตฌ์ถ•๋˜์—ˆ์œผ๋ฉฐ, Dremel ๋…ผ๋ฌธ์—์„œ ์„ค๋ช…ํ•œ record shredding ๋ฐ assembly ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค. ์šฐ๋ฆฌ๋Š” ์ด ์ ‘๊ทผ ๋ฐฉ์‹์ด ์ค‘์ฒฉ๋œ ๋„ค์ž„์ŠคํŽ˜์ด์Šค๋ฅผ ๋‹จ์ˆœํžˆ ํ‰๋ฉดํ™”ํ•˜๋Š” ๊ฒƒ๋ณด๋‹ค ์šฐ์ˆ˜ํ•˜๋‹ค๊ณ  ๋ฏฟ์Šต๋‹ˆ๋‹ค. Parquet์€ ๋งค์šฐ ํšจ์œจ์ ์ธ ์••์ถ• ๋ฐ ์ธ์ฝ”๋”ฉ ์Šคํ‚ค๋งˆ๋ฅผ ์ง€์›ํ•˜๊ธฐ ์œ„ํ•ด ๊ตฌ์ถ•๋˜์—ˆ..
[2023-15] ์ฐฐ์Šค ๋‘ํžˆ๊ทธ - ์Šต๊ด€์˜ ํž˜
ยท
๐Ÿ“š Book
์ œ๋ชฉ: "์Šต๊ด€์˜ ํž˜" ์ €์ž: ์ฐฐ์Šค ๋‘ํžˆ๊ทธ keyword ๋ ˆ๋ฆฌ ์Šค์ฝฐ์ด์–ด(๊ธฐ์–ต์ „๋ฌธ๊ฐ€), ํ™‰ํ‚จ์Šค(ํŽฉ์†Œ๋˜ํŠธ ์น˜์•ฝ ๊ด‘๊ณ ), ๋“œ๋ ˆ์ดํฌ ์ŠคํŒ€์Šจ(P&G, ํŽ˜๋ธŒ๋ฆฌ์ฆˆ ๊ด‘๊ณ ), ํ† ๋‹ˆ ๋˜์ง€(๋ฏธ์‹ ์ถ•๊ตฌ ๊ฐ๋…), ๋นŒ ์œŒ์Šจ(ํ”„๋ž‘์Šค ์žฅ๊ต, ๋ฏธ์ค‘ ์•Œ์ฝ”์˜ฌ ์น˜๋ฃŒํ˜‘ํšŒ), ๋„ค์ด์„  ์•„์ฆˆ๋ฆฐ(์Šต๊ด€ ๋ฐ˜์ „ ํ›ˆ๋ จ), Small wins - beast barracks, ํŠธ๋ž˜๋น„์Šค(์Šคํƒ€๋ฒ…์Šค ์šฐ์ˆ˜์‚ฌ์›), ๋ฌด๋ ˆ์ด๋ธ(์ž์ œ๋ ฅ ์‹คํ—˜), ์Š์ธ (์Šคํƒ€๋ฒ…์Šค CEO, ๋ฏธ์‹ ์ถ•๊ตฌ ๋ถ€์ƒ), ํด ์˜ค๋‹(์ตœ๋Œ€ ์•Œ๋ฅ˜๋ฏธ๋Š„ ํšŒ์‚ฌ ์•Œ์ฝ”์•„ CEO), ์•ค๋“œ๋ฅ˜ ํด(์›”๋งˆํŠธ, ํƒ€๊ฒŸ, ์ฝ”์ŠคํŠธ์ฝ” ๋ฐ์ดํ„ฐ ๋ถ„์„๊ฐ€), ์—๋ฆญ ์‹œ๊ฒ”(๋ฐ์ดํ„ฐ ๋ถ„์„๊ฐ€), ์•ค๋”” ์›Œ๋“œ(๋žœ๋ค ํ•˜์šฐ์Šค ์ถœํŒ์‚ฌ) ๊ด€๋ จ ์ž๋ฃŒ https://psycnet.apa.org/search/results?term=Squire,%20Larry%20R.&la..
Flask - secret_key (1)
ยท
๐Ÿ Python
https://flask.palletsprojects.com/en/2.3.x/api/#flask.Flask.secret_key API — Flask Documentation (2.3.x) API This part of the documentation covers all the interfaces of Flask. For parts where Flask depends on external libraries, we document the most important right here and provide links to the canonical documentation. Application Object class flask.Flask(imp flask.palletsprojects.com app.secret..
Flask Error : AttributeError: 'Flask' object has no attribute 'login_manager'
ยท
๐Ÿ Python
## Error File "/opt/homebrew/lib/python3.11/site-packages/flask_login/utils.py", line 372, in _get_user current_app.login_manager._load_user() ^^^^^^^^^^^^^^^^^^^^^^^^^ AttributeError: 'Flask' object has no attribute 'login_manager' Flask __init__.py์— LoginManaer ๋ช…์‹œ ๋ฌธ์ œ # in __init__.py create_app() # flask-login ์ ์šฉ login_manager = LoginManager() login_manager.login_view = 'auth.sign_in' login_ma..
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