Akshay (@akshay_pachaar)
작성자가 AI 엔지니어링 관련 게시물들을 모아 375쪽 이상의 단일 PDF로 정리해 배포할 예정이라고 알렸습니다. 문서에는 LLM 기초, 프롬프트 엔지니어링, 파인튜닝, RAG, 컨텍스트 엔지니어링, AI 에이전트, MCP, 최적화, 배포, 평가 및 관측성 등 실무 핵심 주제가 포함됩니다.
Akshay (@akshay_pachaar)
작성자가 AI 엔지니어링 관련 게시물들을 모아 375쪽 이상의 단일 PDF로 정리해 배포할 예정이라고 알렸습니다. 문서에는 LLM 기초, 프롬프트 엔지니어링, 파인튜닝, RAG, 컨텍스트 엔지니어링, AI 에이전트, MCP, 최적화, 배포, 평가 및 관측성 등 실무 핵심 주제가 포함됩니다.

i decided to put together all my AI engineering posts in a single pdf. it covers: > LLM foundations > prompt engineering > fine-tuning > RAG > context engineering > AI agents > MCP > optimization > deployment > eval and observability 375+ pages. download link in next tweet!
#AIEngineering #quantumcomputing
This tiny chip could change the future of quantum computing
https://www.sciencedaily.com/releases/2025/12/251226045341.htm

A new microchip-sized device could dramatically accelerate the future of quantum computing. It controls laser frequencies with extreme precision while using far less power than today’s bulky systems. Crucially, it’s made with standard chip manufacturing, meaning it can be mass-produced instead of custom-built. This opens the door to quantum machines far larger and more powerful than anything possible today.
Constraint-based scheduling + PHP + AI collaboration = a surprisingly solid result.
This post shares performance limits, lessons learned, and why verification, not generation is now the real challenge.
Read on - https://www.tag1.com/blog/building-tactician-with-ai/
#AIEngineering #aiethics #aimistakes
I think we can all agree that current state of AV is not ready for public roads. Power less is a use case that should be considered by any competent software engineer.
#AIEngineering #aiethics #aimedicine
Vision-language zero-shot models for radiographic image classification: A systematic review
https://www.sciencedirect.com/science/article/pii/S2666827025002099
I built a layer for AI that turns visual input into structured memory.
scanOS is a configurable ingestion layer for LLMs that controls how visual information become normalized data.
Input→recognition→structured output.
When similar inputs appear again, they’re written into the same structure — even if the source formats differ.
In MetaMemoryWorks, scanOS is one entry point for downstream modules like trainingOS or nutritionOS.
Ngày 12 trong hành trình Advent of AI với Goose: Hội đồng 9 AI persona dùng MCP sampling tranh luận, bỏ phiếu dân chủ, giải quyết khủng hoảng mascot. Kết quả: ưu tiên bằng chứng, tiếp cận từng bước, tính bao trùm và tư duy thực tiễn. #AI #MCP #MultiAgent #Engineering #AIEngineering #Ngày12 #AdventOfAI #Goose
https://dev.to/eriperspective/ai-engineering-advent-of-ai-with-goose-day-12-25cf
... continuing
While the AI agent certainly accelerated my learning and helped me validate my understanding and the impact of my high-level decisions (on tech quality, product design, and business impact), the responsibility for every final decision rested with me as part of the "human review and verification" step.
continue ...
#AI #LLMs #GenerativeAI #Agents
#CodingAgents #AIAssistedCoding
#AIEngineering #PromptEngineering #AICoding