LLM2Vec, Two Years On: The Thesis Won, the Recipe Did Not
The paper claimed unsupervised MTEB SOTA as of May 2024 and put itself 6th overall. This page dropped every qualifier. What the download numbers say now.
Fodev JEO
LATEST INVESTIGATIONS
Source audits & field notes
![["Compare Performance of LLMS by KMMLU"]](/assets/img/llm/compare-performance-of-llms.jpeg)
Introducing Llama 3.1 - the most capable LLMs from Meta, free and arguably open-source!
LLM, Llama3.1
๐๐ด๐ฒ๐ป๐๐ถ๐ฐ ๐๐ฎ๐๐ฎ ๐ฎ๐ป๐ฎ๐น๐๐๐, ๐ฑ๐ฟ๐ผ๐ฝ ๐๐ผ๐๐ฟ ๐ฑ๐ฎ๐๐ฎ ๐ณ๐ถ๐น๐ฒ, ๐น๐ฒ๐ ๐๐ต๐ฒ ๐๐๐ ๐ฑ๐ผ ๐๐ต๐ฒ ๐ฎ๐ป๐ฎ๐น๐๐๐ถ๐ ๐โ๏ธ
Curiosity: What insights can we retrieve from this? How does this connect to innovation in the field?
A Survey on LLM-based Autonomous Agents
Autonomous agents are designed to achieve specific objectives through self-guided instructions.
๐ง๐ผ๐ฝ ๐ฐ ๐ ๐ผ๐๐ ๐ฃ๐ผ๐ฝ๐๐น๐ฎ๐ฟ ๐จ๐๐ฒ ๐๐ฎ๐๐ฒ๐ ๐ณ๐ผ๐ฟ ๐จ๐๐ฃ by ByteByteGo ๐ฅ
Many VoIP and video conferencing applications leverage UDP due to its lower overhead and ability to tolerate packet loss.
๐ ๐ฎ๐ฟ๐ธ ๐ญ๐๐ฐ๐ธ๐ฒ๐ฟ๐ฏ๐ฒ๐ฟ๐ด ๐ท๐๐๐ ๐ฎ๐ป๐ป๐ผ๐๐ป๐ฐ๐ฒ๐ฑ ๐๐ต๐ฒ ๐๐ฃ๐ง-๐ฐ ๐ธ๐ถ๐น๐น๐ฒ๐ฟ, ๐๐น๐ฎ๐บ๐ฎ-๐ฏ.๐ญ ๐ฅ
LLM, Llama3.1
Visualize your RAG Data โ EDA for Retrieval-Augmented Generation.
Curiosity: How can we visualize RAG embedding data to understand retrieval quality?
๐ "A Survey of Prompt Engineering Methods in Large Language Models" - LLM
Curiosity: What are the most effective prompt engineering techniques?
Microservices are a popular architectural style for building applications
Curiosity: How can we build scalable, maintainable applications? What makes microservices architecture effective for modern systems?
๐ง๐ต๐ฒ ๐ฑ ๐๐ฎ๐๐ฒ๐ฟ๐ ๐ผ๐ณ ๐ ๐ผ๐ฑ๐ฒ๐ฟ๐ป ๐ฆ๐ผ๐ณ๐๐๐ฎ๐ฟ๐ฒ ๐๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐๐๐ฟ๐ฒ - ๐ ๐๐ผ๐บ๐ฝ๐ฟ๐ฒ๐ต๐ฒ๐ป๐๐ถ๐๐ฒ ๐๐๐ถ๐ฑ๐ฒ
As software systems become increasingly complex, understanding their architecture is crucial for developers, architects, and tech leaders.
์ธ๊ธฐ ํ๊ทธ
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