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Learnings rsrini7/Learnings

My public engineering learning OS - daily notes, AI/ML research, agent systems, JVM engineering, architecture, protocols, and practical experiments.

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// readme

๐Ÿš€ Knowledge Hub & Learning Logs

Welcome to my personal learning repository! This space serves as a central hub for my research, tech updates, and deep dives into various engineering domains.


๐Ÿ“ Repository Structure

Learnings/
โ”œโ”€โ”€ AI-ML/                       # AI & Machine Learning
โ”‚   โ”œโ”€โ”€ Agents/                  # Agent frameworks, skills, MCP
โ”‚   โ”œโ”€โ”€ LLMs/                    # Models, architectures, inference
โ”‚   โ”œโ”€โ”€ RAG/                     # RAG architectures & guides
โ”‚   โ”œโ”€โ”€ Hardware/                # AI chips, accelerators, silicon
โ”‚   โ”œโ”€โ”€ Protocols/               # MCP, A2A, UCP
โ”‚   โ”œโ”€โ”€ Fine-Tuning/             # PEFT, training guides
โ”‚   โ”œโ”€โ”€ Comparisons/             # Model & tool comparisons
โ”‚   โ”œโ”€โ”€ Tabular-ML/              # Tabular / structured-data foundation models
โ”‚   โ”œโ”€โ”€ Algorithms/              # Recommendation algorithms
โ”‚   โ””โ”€โ”€ Programming/             # DSPy, BAML
โ”‚
โ”œโ”€โ”€ Engineering/                 # Software Engineering
โ”‚   โ”œโ”€โ”€ Architecture/            # System design, scaling
โ”‚   โ”œโ”€โ”€ JVM/                     # Java, Spring, debugging
โ”‚   โ”œโ”€โ”€ Databases/               # Graph DB, PostgreSQL
โ”‚   โ”œโ”€โ”€ Middleware/              # Kafka, workflows
โ”‚โ€ฆ