- Published on
Explore the fundamental concepts of machine learning in simple terms. Learn about supervised, unsupervised, and reinforcement learning with real-world examples and a hands-on Python demonstration.
Ai
All Posts
ai (9)
- programming (7)
- devops (5)
- machine-learning (4)
- technology (4)
- aws (4)
- llm (4)
- ec2 (3)
- linux (3)
- productivity (2)
- security (2)
- automation (2)
- python (2)
- tips (1)
- work (1)
- developer-tools (1)
- career-development (1)
- cloud-computing (1)
- iam (1)
- n8n (1)
- telegram (1)
- docker (1)
- workflow (1)
- deep-learning (1)
- supabase (1)
- postgresql (1)
- firebase (1)
- backend (1)
- database (1)
- api (1)
- beginner (1)
- tutorial (1)
- langchain (1)
- llamaindex (1)
- nim (1)
- logging (1)
- fluentd (1)
- prompt-engineering (1)
- best-practices (1)
- mcp (1)
- protocol (1)
- development (1)
- springboot (1)
- java (1)
- redis (1)
- cybersecurity (1)
- hacking (1)
- nginx (1)
- web-development (1)
- server-configuration (1)
- architecture (1)
- s3 (1)
- backup (1)
- databases (1)
- faiss (1)
- pinecone (1)
- coding (1)
- Published on
A practical guide for developers on why AI matters in 2025, understanding the AI landscape, and how to effectively learn and integrate AI into your development workflow- Published on
A beginner-friendly introduction to vector databases like FAISS and Pinecone, and how they enhance AI applications by enabling semantic search and reducing hallucinations- Published on
Learn how to effectively handle large text documents with LLMs through text chunking, with practical Python examples using popular tools like LangChain and tiktoken- Published on
A comprehensive guide to the five fundamental principles of prompt engineering that can help you get better results from AI models