Please answer the #Topic following the conditions below
Topic: [키워드]
Length: around 2000 words
Format: markdown
Answer me in Korean/English
Includes title
Includes subtitles and detail descriptions
For audience: 14-years-old students
Content Goal: Blog (Press Release, Report)
Writing Style: Financial Professional (Steve Jobs)
https://www.gpters.org/c/freeforum/image-png
Programming 게시판 관련
Anthropic, LLM의 내부를 이해하는데 있어 상당한 진전을 보임
llama3 implemented from scratch
[VESSL AI] 뉴욕주민의 프로젝트플루토 — LLM, LLMOps를 활용한 금융 미디어의 혁신
PEFT: Parameter-Efficient Fine-Tuning of Billion-Scale Models on Low-Resource Hardware
The difference between quantization methods for the same bits
Mixture of Experts - Part 2
ChatGPT의 강력한 경쟁 언어모델 등장!, Mixtral 8x7B
Real-Time Stock News Sentiment Prediction with Python
Getting Started with Sentiment Analysis using Python
How LLMs Work ? Explained in 9 Steps — Transformer Architecture
만능 프롬프트
A Beginner's Guide to Prompt Engineering with GitHub Copilot
[12월 1주] 떠오르는 '미스트랄 7B'...'라마 2' 이어 한국어 모델 세대교체 주도
[번역]거대언어모델(LLM) 가이드
LLM 출력 속도 24배 높여주는 라이브러리 등장했다
손님
