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).
I'm experimenting with various search strategies - you can find more information in query_engine/README.md
GitHub is an inefficient way to navigate this obsidian vault, but you may find something interesting by following one of the links in this serendipitous random heap:
RagChecker (paper) - A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation.md, The Kelly Criterion.md, Productive Note-Taking Systems.md, jwt.io (website).md, LLM Agents.md, Data Ingestion Best Practices.md, Retrieval-Augmented Generation (RAG).md, Software Best Practice.md, Causal Inference for The Brave and True.md, GCP VM which creates other VMs.md, Machine Learning on Small Datasets.md, Association, Bias & Causation.md, Tasks which may be automated.md, Machine Learning Q & AI.md, Brewer's Theorem (CAP theorem).md, Real Python Application Number 1.md, RefChecker (paper) - Reference-based Fine-grained Hallucination Checker and Benchmark for Large Language Models.md, Reading Lists.md, GitHub Repos.md, useful-code-snippets (github repo).md, Important LLM Concepts.md, AI in organizations - Some tactics (blog).md, Zero-shot Classification using Embeddings.md, GCP Workflows Example (github repo).md, happy-rag-friends (github repo).md, Inspired- how to create tech products customers love.md, Good API Design.md, hosting-7B-llm-on-google-cloud (github repo).md, LLM Prompting Strategies.md, Workout 2025.md, Label Propagation Algorithm.md, A survey on large language model based autonomous agents (paper).md, How Docker Containers Work.md, CIDI Prompting Strategy.md, OIDC.md, Regex lookarounds (lookbehind lookahead).md, learning-rust (github repo).md, BERT model.md, IP address strategies for web scraping.md, The Kernel Trick.md, Personal Development Areas.md, semantic-search-engine (github repo).md, Shapley values and SHAP.md, Named Entity Recognition (NER).md, LLM Chain-of-Thought Prompting.md, Data Engineering.md, One-Shot and Few-Shot Learning.md, OAuth 2.0.md, Relational Database Normalisation.md, The Rasa CALM method.md, Kelly Criterion (wikipedia).md, how-much-remains (github repo).md, Build a Large Language Model (From Scratch).md, Causal Inference.md, Cookie Security.md, How to see the GPT-4 System Prompt.md, Past Reading.md, LLM Jailbreaking Techniques.md, Advanced RAG Techniques.md, mpd-tpd (github repo).md, Data Transformation Tools.md, LLM SQL Agents.md, Web Scraping Proxy Providers.md, Python Logging on GCP Compute Engine.md, Current Reading.md, Data Engineering Thesaurus.md, Searching for Best Practices in Retrieval-Augmented Generation (paper).md, List of Useful Algorithms.md, dbt-example (github repo).md, Reflexion - Language Agents with Verbal Reinforcement Learning.md, ChatGPT Prompt Engineering for Developers (DeepLearning.AI course).md, personal-projects (github repo).md, Dependency Injection.md, BTYD Modelling.md, gmail-email-automation (github repo).md, Applied Large Language Model Concepts.md, Subnets.md, Text Chunking for Semantic Search.md, Future Reading.md, LLM ReAct Prompting.md, plotly-dash-dashboard-template (github repo).md