1. Home
  2. Detail

@beprungtaybac: bác nào đang gặp các vấn đề về tiêu hoá thì tham khảo ạ #beprungtaybac #cheday #tieuhoa #daday

Dương Dổi
Dương Dổi
Open In TikTok:
Region: VN
Saturday 18 April 2026 05:00:16 GMT
1112
3
0
1

Music

Download

No Watermark .mp4 (10.4MB) No Watermark(HD) .mp4 (10.4MB) Watermark .mp4 (0MB) Music .mp3

Comments

There are no more comments for this video.
To see more videos from user @beprungtaybac, please go to the Tikwm homepage.

Other Videos

Phối đồ đi chơi P5 #phoido #phoidoxinh #thoitrangnu #phoidohottrend #xuhuong
Phối đồ đi chơi P5 #phoido #phoidoxinh #thoitrangnu #phoidohottrend #xuhuong
#
#
Hudoga murojat qilish yólini topolsen hamma narsaga erishasan💯☝️🖤. #polatalemdar #qilich #kurtlarvadisi
Hudoga murojat qilish yólini topolsen hamma narsaga erishasan💯☝️🖤. #polatalemdar #qilich #kurtlarvadisi
🚀 You don’t need 50 tools to build an AI application. You need to understand where each tool fits. Here’s a practical AI Engineering Stack from idea → production 👇 🖥️ Frontend → Next.js / Streamlit 🧠 Orchestration → LangGraph / CrewAI 📚 RAG → Knowledge → Embeddings → Vector DB 🤖 LLM → Ollama + open models 🔌 Tools → MCP → GitHub, Slack, DBs, APIs 💻 Code Agents → Claude Code / Aider 📊 Data + Observability → SQLite, DuckDB, Supabase, Phoenix 🚀 Deployment → Docker, Cloudflare Workers, Hugging Face The important part isn’t memorizing this stack. It’s understanding the layers. Tools will change. Models will change. Frameworks will change. But the mental model stays: Build → Run → Observe → Iterate → Scale. 🔁 Start small. Pick one tool per layer. Build something end-to-end. Then add complexity only when the system actually needs it. 📌 Save this as your AI engineering architecture map. #AI #AIEngineering #AIEngineer #LLM #GenerativeAI
🚀 You don’t need 50 tools to build an AI application. You need to understand where each tool fits. Here’s a practical AI Engineering Stack from idea → production 👇 🖥️ Frontend → Next.js / Streamlit 🧠 Orchestration → LangGraph / CrewAI 📚 RAG → Knowledge → Embeddings → Vector DB 🤖 LLM → Ollama + open models 🔌 Tools → MCP → GitHub, Slack, DBs, APIs 💻 Code Agents → Claude Code / Aider 📊 Data + Observability → SQLite, DuckDB, Supabase, Phoenix 🚀 Deployment → Docker, Cloudflare Workers, Hugging Face The important part isn’t memorizing this stack. It’s understanding the layers. Tools will change. Models will change. Frameworks will change. But the mental model stays: Build → Run → Observe → Iterate → Scale. 🔁 Start small. Pick one tool per layer. Build something end-to-end. Then add complexity only when the system actually needs it. 📌 Save this as your AI engineering architecture map. #AI #AIEngineering #AIEngineer #LLM #GenerativeAI


Pupuk organik pupuk pelebat buah buahan booster pelebat buah#pupukorganik #pupukpelebatbuah #pupukpelebatbuahbuahan #pupukorganikbuahbuahan #boosterbuahbuahan
Pupuk organik pupuk pelebat buah buahan booster pelebat buah#pupukorganik #pupukpelebatbuah #pupukpelebatbuahbuahan #pupukorganikbuahbuahan #boosterbuahbuahan

About

Legal