Solomon Hsu

[Solomon Hsu @solnone]

https://t.co/5ZAQ6FCh5Y

[Solomon Hsu @solnone]

https://t.co/ZUTLYnVkcU

[Solomon Hsu @solnone]

加入我，並獲得您的獎勵！註冊並完成任務，讓我們一起賺取 USDC 獎勵！ https://t.co/E5ZIbffQbg

[Solomon Hsu @solnone]

All New Atlas | Boston Dynamics https://t.co/BowLDzE6PQ 來自 @YouTube

[Solomon Hsu @solnone]

Register now on #HTBAcademy! Kickstart your #cybersecurity career 🎉
🔗 Use this link and start FOR FREE: https://t.co/818aTRyOsO

[LangChain @LangChain]

RAG From Scratch: Query Structuring

Our RAG From Scratch video series walks through impt RAG concepts in short / focused videos w/ code.

This is the 11th video in our series and focuses on query structuring.

🔧 Problem: We interact w/ databases using domain-specific languages (e.g., SQL, Cypher for Relational and Graph DBs). And, many vectorstores have metadata that can allow for structured queries to filter chunks. But RAG systems ingest questions in natural language.

💡 Idea: A great deal of work has focused on query structuring, the process of text-to-<DSL> where DSL is a domain specific language required to interact with a given database. This converts user questions into structured queries. Below are links that dive into text-to-SQL/Cypher, and the below video overviews query structuring for vectorstores using function calling.

📽️ Video:
https://t.co/QcreSMm60W

💻 Code:
https://t.co/sglvEoOjx9

🧠 References:
1/ Blog with links to various tutorials and templates:
https://t.co/Vw5Zb4HDFu
2/ Deep dive on graphDBs (c/o @neo4j):
https://t.co/0e4NYimlOd
3/ Query structuring docs:
https://t.co/vBHVd1QDi5
4/ Self-query retriever docs:
https://t.co/1SjgOHAFM3

[Solomon Hsu @solnone]

Register now on #HTBAcademy! Kickstart your #cybersecurity career 🎉
🔗 Use this link and start FOR FREE: https://t.co/818aTRyOsO

[Solomon Hsu @solnone]

what is TCP/IP and OSI? // FREE CCNA // EP 3 https://t.co/IUZnQjrb8X 來自 @YouTube

[Solomon Hsu @solnone]

馬崗魚港 https://t.co/EBfCy5LRoZ 來自 @YouTube

[Solomon Hsu @solnone]

🔴直播中 LK-99 性質驗證！室溫超導是真的嗎？@台大實驗室 直播馬拉松 03 measurement of room-temperature... https://t.co/l9NImoQi2P 來自 @YouTube

[Solomon Hsu @solnone]

LangChain Conversation Buffer Window Memory with streamlit-chat https://t.co/sFn5f9g72C 來自 @YouTube

[Solomon Hsu @solnone]

LangFlow https://t.co/HE6QkuK0gV 來自 @YouTube

[Solomon Hsu @solnone]

Unreal Engine OpenAI Whisper ChatGPT gpt-3.5-turbo with Metahuman SDK https://t.co/aSRsdCKH1n 來自 @YouTube

[Solomon Hsu @solnone]

Luma Unreal Engine Plugin https://t.co/oPh1hCqM0R 來自 @YouTube

[Andrej Karpathy @karpathy]

Love it 👏 - much fertile soil for indie games populated with AutoGPTs, puts "Open World" to shame. Simulates a society with agents, emergent social dynamics.
Paper: https://t.co/I07IJwweHE
Demo: https://t.co/pYNF4BBveG
Authors: @joon_s_pk @msbernst @percyliang @merrierm et al.

[Solomon Hsu @solnone]

【NextJS】What is it https://t.co/QZNqfywoLA 來自 @YouTube

[Solomon Hsu @solnone]

Stanford Webinar - GPT-3 &amp; Beyond https://t.co/F40bMrl0Gt 來自 @YouTube

[Pratham @Prathkum]

Use these 3 AI websites:

1/ https://t.co/RaE0W4KLvp
‍It takes automatic notes in virtual meetings.

2/ https://t.co/bE96kozdjE
Create high-quality content using AI in seconds.

3/ https://t.co/EOSmxYF2Vo
Krisp’s AI removes background voices, noises and echo.

[アニメ「ぼっち・ざ・ろっく！」公式 @BTR_anime]

𝘛𝘩𝘢𝘯𝘬 𝘺𝘰𝘶.

#ぼっち・ざ・ろっく

[nixCraft 🐧 @nixcraft]

legacy/old code base and me ...