This is a repository containing any information which I am interested in recording. It is stored as an obsidian vault (I am still migrating everything to this new system), but you may find something interesting by following one of the links in this serendipitous random heap:
OAuth 2.0.md, mpd-tpd (github repo).md, Reading Lists.md, Good API Design.md, personal-projects (github repo).md, OIDC.md, GitHub Repos.md, Label Propagation Algorithm.md, Data Transformation Tools.md, how-much-remains (github repo).md, Productive Note-Taking Systems.md, Data Engineering.md, Zero-shot Classification using Embeddings.md, useful-code-snippets (github repo).md, Causal Inference.md, The Kelly Criterion.md, Cookie Security.md, Causal Inference for The Brave and True.md, Python Logging on GCP Compute Engine.md, Text Chunking for Semantic Search.md, GCP Workflows Example (github repo).md, Applied Large Language Model Concepts.md, happy-rag-friends (github repo).md, The Rasa CALM method.md, Personal Development Areas.md, Association, Bias & Causation.md, Data Ingestion Best Practices.md, Machine Learning Q & AI.md, LLM Agents.md, One-Shot and Few-Shot Learning.md, LLM Prompting Strategies.md, learning-rust (github repo).md, plotly-dash-dashboard-template (github repo).md, Kelly Criterion (wikipedia).md, Real Python Application Number 1.md, LLM ReAct Prompting.md, Searching for Best Practices in Retrieval-Augmented Generation (paper).md, GCP VM which creates other VMs.md, hosting-7B-llm-on-google-cloud (github repo).md, semantic-search-engine (github repo).md, Brewer's Theorem (CAP theorem).md, dbt-example (github repo).md, LLM Chain-of-Thought Prompting.md, Machine Learning on Small Datasets.md, gmail-email-automation (github repo).md, Retrieval-Augmented Generation (RAG).md, jwt.io (website).md, Shapley values and SHAP.md, List of Useful Algorithms.md