양수열(Soo yeol, Yang)
@javaoracle
Ex Treasure data engineer/Java Champion,Oracle ACE pro /JCO 3th chairman/Doctor of Veterinary Medicine
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중국 비즈니스맨한테 들은 충격적인 얘기를 해줄게, "한국을 망하게 하는 건 너무나 쉽다. 마포구나 성동구 같은데 아파트 매매가 2배로 올려서 한 채만 사주면, 다 따라 오르고 중산층 붕괴되고 청년층은 의욕상실로 일 안하고, 직장인들 의욕은 반으로 꺽인다."
you must read Harvard’s AI Research Experience if you’re a student/researcher. A free course book which covers the essentials and tips on doing research: > VSCode, Git, Conda > PyTorch, W&B > AWS, colab > LLMs and VLMs > reading AI papers > research progress and organization
PYTHON is difficult to learn, but not anymore! Introducing "The Ultimate Python ebook "PDF. You will get: • 74+ pages cheatsheet • Save 100+ hours on research And for 48 hrs, it's 100% FREE! To get it, just: 1. Like & RT 2. Reply "Python" 3. Follow @Ronycoder [MUST]
PYTHON is difficult to learn, but not anymore! Introducing "The Ultimate Python ebook "PDF. You will get: • 74+ pages cheatsheet • Save 100+ hours on research And for 48 hrs, it's 100% FREE! To get it, just: 1. Like & RT 2. Reply "Py" 3. Follow @Ronycoder [MUST]
5 AI to convert APIs to MCP servers in just a few minutes. 1. FastAPI-MCP exposes your FastAPI endpoints as MCP servers in one line of code with native auth support. 100% opensource.
💎 SQL Cheat Sheet Find the HQ link inside:
If you're building AI agents, read this twice: There’s a new invisible OS being written for the autonomous future. It’s built on two emerging protocols: • Model Context Protocol (MCP) • Agent-to-Agent Protocol (A2A) Here’s why they’re a big deal—and why you need to care:
Flow – AI 에이전트 제작을 위한 경량 태스크 엔진. 동적 태스크 큐 기반으로 병렬 실행, 동적 스케줄링, 스마트 의존성 지원. 명시적 쓰레딩 없이 복잡한 워크플로우 간소화, OpenTelemetry 추적 지원. 경량 설계와 쓰레드 안전한 상태 관리 제공 news.hada.io/topic?id=18127
A Cheatsheet on Comparing Key-Value Stores
성공가능성이 희박한 석유시추는 재정자금으로 해야 한다던 자들이, 재정자금을 투입해 AI 대기업을 만들고 국민들이 30% 지분을 갖게 하자는 말에는 ‘반시장적 사회주의’라고 악을 씁니다. ‘손실의 공공화, 이익의 사유화’는 자본주의 원리도 아닙니다. 도둑놈들이 국민을 등쳐먹는 수법일 뿐입니다.
Grok 3 is absolutely WILD Here are 17 insane ways it's being used. Learn how to 10x your productivity using Grok 3: 👇
AI Agents 101: 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗠𝗲𝗺𝗼𝗿𝘆. In general, the memory for an agent is something that we provide via context in the prompt passed to LLM that helps the agent to better plan and react given past interactions or data not immediately available. It is useful to group…
My Cheat Sheet on Database Transactions. Enjoy!
DeepSeek [1] uses elements of the 2015 reinforcement learning prompt engineer [2] and its 2018 refinement [3] which collapses the RL machine and world model of [2] into a single net through the neural net distillation procedure of 1991 [4]: a distilled chain of thought system.…
My Ultimate Git Cheat Sheet. Show some support and enjoy!!
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