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:
happy-rag-friends (github repo).md, Applied Large Language Model Concepts.md, Kelly Criterion (wikipedia).md, Searching for Best Practices in Retrieval-Augmented Generation (paper).md, How to see the GPT-4 System Prompt.md, GCP VM which creates other VMs.md, How Docker Containers Work.md, Label Propagation Algorithm.md, LLM Prompting Strategies.md, Zero-shot Classification using Embeddings.md, Tasks which may be automated.md, Python Logging on GCP Compute Engine.md, LLM SQL Agents.md, Dependency Injection.md, IP address strategies for web scraping.md, ChatGPT Prompt Engineering for Developers (DeepLearning.AI course).md, Build a Large Language Model (From Scratch).md, Data Transformation Tools.md, The Kelly Criterion.md, Brewer's Theorem (CAP theorem).md, Association, Bias & Causation.md, LLM ReAct Prompting.md, Collection of LLM Prompts.md, RagChecker (paper) - A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation.md, Web Scraping Proxy Providers.md, GitHub Repos.md, AI in organizations - Some tactics (blog).md, Good API Design.md, Advanced RAG Techniques.md, LLM API Cost Comparison.md, The Rasa CALM method.md, hosting-7B-llm-on-google-cloud (github repo).md, Important LLM Concepts.md, Text Chunking for Semantic Search.md, Named Entity Recognition (NER).md, useful-code-snippets (github repo).md, Retrieval-Augmented Generation (RAG).md, Future Reading.md, CIDI Prompting Strategy.md, The Kernel Trick.md, Data Engineering Thesaurus.md, Data Ingestion Best Practices.md, BTYD Modelling.md, Inspired- how to create tech products customers love.md, Software Best Practice.md, Cookie Security.md, Productive Note-Taking Systems.md, gmail-email-automation (github repo).md, RefChecker (paper) - Reference-based Fine-grained Hallucination Checker and Benchmark for Large Language Models.md, Relational Database Normalisation.md, Workout 2025.md, LLM Chain-of-Thought Prompting.md, Mem0 - Building Production-Ready AI Agents with Scalable Long-Term Memory.md, Python.md, Reflexion - Language Agents with Verbal Reinforcement Learning.md, Data Engineering.md, Regex lookarounds (lookbehind lookahead).md, Machine Learning on Small Datasets.md, Domain Adaptation of LLMs.md, mpd-tpd (github repo).md, A survey on large language model based autonomous agents (paper).md, One-Shot and Few-Shot Learning.md, Real Python Application Number 1.md, Past Reading.md, LLM Jailbreaking Techniques.md, Subnets.md, LLM Agents.md, Causal Inference for The Brave and True.md, OIDC.md, jwt.io (website).md, LLM logprobs and temperature.md, plotly-dash-dashboard-template (github repo).md, Personal Development Areas.md, List of Useful Algorithms.md, learning-rust (github repo).md, BERT model.md, Shapley values and SHAP.md, personal-projects (github repo).md, semantic-search-engine (github repo).md, how-much-remains (github repo).md, GCP Workflows Example (github repo).md, dbt-example (github repo).md, OAuth 2.0.md, Machine Learning Q & AI.md, Reading Lists.md, Causal Inference.md, Current Reading.md