Ash Space
GitHubHuggingFace
  • Contents
  • 🥑Resume / CV
    • Reseume / CV
  • 📄Paper Review
    • Paper List
      • [2017] Attention is all you need
      • [2023] CoVe : Chain of Verification Reduces Hallucination in Large Language Models
      • [2024] RAG Survey : A Survey on Retrieval-Augmented Text Generation for Large Language Models
      • [2023] Interleaving Retrieval with Chain-of-Thought for Knowledge-Intensive Multi-Step Questions
      • [2024] Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models
      • [2020] ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT
      • [2024] Retrieval Augmented Generation (RAG) and Beyond
      • [2009] Reciprocal Rank Fusion outperforms Condorcet and individual Rank Learning Methods
      • [2024] Don't Do RAG : When Cache-Augmented Generation is All you Need for Knowledge Tasks
      • [2024] Text2SQL is Not Enough : Unifying AI and Database with TAG
  • 🗂️Research Article
    • Reference List
      • Dataset
      • LLM
      • Prompt Engineering
      • LLMops
      • RAG & Agent
      • Etc
    • Compounded AI System : The Shift from Models to Compound AI Systems
    • LLM과 Grounding
    • Essence of RAG
    • How to reduce Hallucinations
    • Golden Gate Claude Review
    • Editorial Thinking
    • Embedding을 평가하는 방법
    • 나야, Chunk
    • 당신.. Chunking이 뭔지 정확히 알아..?
    • 그래서 제일 좋은 Chunking이 뭔데?
    • 웅장한 대결 AI Agent와 Agentic AI
    • UV써도 괜찮아~ 딩딩딩딩딩
    • 아무도 RAG 평가 셋 만드는 것에 관심가지지 않아~
    • Linguistic Prompts
    • Chroma야, Chunking 평가를 어떻게 한다고?
    • Generations Never Easy
    • Model Context Protocol
    • Chill칠치 못한 Function Calling
    • RAG 평가지표 정복하기
    • LLM Quantization 방법론 알아보기
    • LLM은 더우면 헛소리를 해?
    • Text2SQL 넌 내꺼야!
  • 🏵️Conference
    • 일할맛 판교 3월 세미나
    • LangChainOpenTutorial를 진행하며
    • Talk: Prompt and Language The Science of Prompts 후기
    • 2024년 회고
    • 제 7회 Kako Tech Meet Up 후기
    • Moducon 2023 행사 후기
    • GDGXGDSC DevFest Happy Career 행사 후기
    • 모두를 위한 한국어 오픈액세스 언어모델 못다한 이야기 (feat. 모두연) #1
    • 모두를 위한 한국어 오픈액세스 언어모델 못다한 이야기 (feat. 모두연) #2
    • 맨땅에서 구축해본 개인화시스템 구축기 Session 후기
  • ♟️Basic
    • 00 Introduction
    • 01-1 LLM 지도
    • 01-2 LLM의 중추 트랜스포머 아키텍처 살펴보기
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On this page
  • Ⅰ. Reference
  • Ⅱ. Leader Board
  • Ⅲ. Useful Tools
  • Ⅳ. Etc..
  1. Research Article
  2. Reference List

Etc

기타 다양한 분야의 자료를 수집합니다.

Last updated 4 months ago

Keyword -> Docker, Kubernates(k8s), FastAPI, MLflow, vLLM, Lakehouse, Blue/Green, LoadBalancing

Ⅰ. Reference

  • StreamDiffusion의 realtime interactive generation의 원리

  • Deploying Langchain apps with langserve on GCP

  • Smilegates AI : VectorDB

  • Weekly NLP

  • Chris : machinecurve site

  • Wikipedia : TEX

  • Transformer Explainer

  • Image-to-3D : TRELLIS

Ⅱ. Leader Board

  • Embedding Model Learder Board : MTEB

  • 2024-ai-timeline

  • Free-Form Vision-Language Model(VLM) in Korean Language Environment Benchmark : KOFFVQA

Ⅲ. Useful Tools

  • Python Locust (부하테스트)

  • Python Rich (Beautiful Logging)

  • Python Manim (3Blue1Brown style animation library)

  • Flair

  • Kiwipiepy

  • Samurai : Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

  • Genesis

Ⅳ. Etc..

  • MyFonts : 이미지 기반으로 어떤폰트인지 검색해주는 사이트

ResearchTrend.AI
https://github.com/cumulo-autumn/StreamDiffusion
https://webcache.googleusercontent.com/search?q=cache:https://medium.com/@tahreemrasul/deploying-langchain-apps-with-langserve-on-gcp-1908476cdc49
https://smilegate.ai/2023/11/07/vector-database-%eb%b2%a1%ed%84%b0-%ec%9e%84%eb%b2%a0%eb%94%a9%ec%9d%84-%ec%a0%80%ec%9e%a5%ed%95%98%ea%b3%a0-%ea%b2%80%ec%83%89%ed%95%98%eb%8a%94-%ea%b0%80%ec%9e%a5-%ed%9a%a8%ec%9c%a8%ec%a0%81/
https://jiho-ml.com/tag/weekly-nlp/
https://machinecurve.com/index22.php
https://ko.wikipedia.org/wiki/%EC%9C%84%ED%82%A4%EB%B0%B1%EA%B3%BC:TeX_%EB%AC%B8%EB%B2%95
https://poloclub.github.io/transformer-explainer/?trk=public_post_comment-text
https://github.com/Microsoft/TRELLIS
https://huggingface.co/spaces/mteb/leaderboard
https://github.com/embeddings-benchmark/mteb?tab=readme-ov-file
https://huggingface.co/spaces/reach-vb/2024-ai-timeline
https://huggingface.co/spaces/maum-ai/KOFFVQA-Leaderboard
https://github.com/locustio/locust
https://github.com/Textualize/rich
https://github.com/ManimCommunity/manim
https://github.com/CodingVillainKor/manim-kor
https://github.com/flairNLP/flair
https://github.com/bab2min/kiwipiepy
https://github.com/yangchris11/samurai
https://github.com/Genesis-Embodied-AI/Genesis
https://www.myfonts.com/
🗂️
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