Index page
- Day 1 - MCP (Model Context Protocol)
- Day 2 - Change Data Capture (CDC)
- Day 3 - Small Language Model (SLM)
- Day 4 - Vibe Coding
- Day 5 - Artificial General Intelligence
- Day 6 - AI Hallucinations and Bias
- Day 7 - Retrieval-Augmented Generation (RAG)
- Day 8 - AI Context window
- Day 9 - A2A Protocol
- Day 10 - LangChain
- Day 11 - LangGraph
- Day 12 - LangFlow
- Day 13 - Semantic Search
- Day 14 - Ollama
- Day 15 - Apache Superset
- Day 16 - Apache Parquet
- Day 17 - Delta Lake
- Day 18 - Apache Airflow
- Day 19 - Lambda Architecture
- Day 20 - Why do we need Docker!
- Day 21 - RAG (Retrieval-Augmented Generation) Vs CAG (Cache-Augmented Generation)
- Day 22 - Hugging Face
- Day 23 - Knowledge Graph
- Day 24 - Spark Architecture
- Day 25 - Discrete Event Simulation
- Day 26 - LLM Fine Tuning
- Day 27 - KQL (Kusto Query Language) and SQL (Structured Query Language)
- Day 28 - Keras vs Tensorflow vs Pytorch
- Day 29 - Neural Network Heuristic Nature
- Day 30 - Topic Modeling
- Day 31 - Sarvam AI (Indic AI model)
- Day 32 - Two Tower Model Architecture (Recommendation engine)
- Day 33 - Snowflakes
- Day 34 - Encoder only transformers (BERT) & Decoder only transformers (ChatGPT)
- Day 35 - Cosine Similarity
- Day 36 - Databricks Unity Catalog
- Day 37 - Mixed Integer Linear Programming (MIP)
- Day 38 - Unobserved Components Model (UCM)
- Day 39 - Generalized Additive Model (GAM)
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