{"id":18684776,"url":"https://github.com/j-sephb-lt-n/knowledge-base","last_synced_at":"2026-04-15T09:31:37.791Z","repository":{"id":151529350,"uuid":"611118590","full_name":"J-sephB-lt-n/knowledge-base","owner":"J-sephB-lt-n","description":"A large pile of interesting and/or useful information","archived":false,"fork":false,"pushed_at":"2026-02-05T20:43:24.000Z","size":3838,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2026-02-06T06:18:38.559Z","etag":null,"topics":["algorithms","causal-inference","data-normalization","database","kelly-criterion","large-language-models","llm","machine-learning","nlp","obsidian-md","plotly-dash","prompt-engineering","regex","semi-supervised-learning","statistics"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/J-sephB-lt-n.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2023-03-08T06:32:16.000Z","updated_at":"2026-02-05T20:43:27.000Z","dependencies_parsed_at":"2023-05-02T19:47:40.147Z","dependency_job_id":"d00baaa6-4271-4aa9-81b1-539239068ccf","html_url":"https://github.com/J-sephB-lt-n/knowledge-base","commit_stats":null,"previous_names":["j-sephb-lt-n/knowledge-base"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/J-sephB-lt-n/knowledge-base","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/J-sephB-lt-n%2Fknowledge-base","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/J-sephB-lt-n%2Fknowledge-base/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/J-sephB-lt-n%2Fknowledge-base/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/J-sephB-lt-n%2Fknowledge-base/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/J-sephB-lt-n","download_url":"https://codeload.github.com/J-sephB-lt-n/knowledge-base/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/J-sephB-lt-n%2Fknowledge-base/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31834515,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-15T07:17:56.427Z","status":"ssl_error","status_checked_at":"2026-04-15T07:17:30.007Z","response_time":63,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["algorithms","causal-inference","data-normalization","database","kelly-criterion","large-language-models","llm","machine-learning","nlp","obsidian-md","plotly-dash","prompt-engineering","regex","semi-supervised-learning","statistics"],"created_at":"2024-11-07T10:19:19.936Z","updated_at":"2026-04-15T09:31:37.782Z","avatar_url":"https://github.com/J-sephB-lt-n.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Knowledge Base\r\n\r\nThis is a repository containing any information which I am interested in recording. It is stored as an [obsidian vault](https://obsidian.md/) (I am still migrating everything to this new system). \r\n\r\nI'm experimenting with various search strategies - you can find more information in `query_engine/README.md`\r\n\r\nGitHub 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:\r\n\r\n\u003cbr\u003e\r\n\r\n[Software Best Practice.md](./obsidian-vault/4%20-%20Maps%20of%20Content/Software%20Best%20Practice.md), [Text Chunking for Semantic Search.md](./obsidian-vault/2%20-%20Full%20Notes/Text%20Chunking%20for%20Semantic%20Search.md), [OAuth 2.0.md](./obsidian-vault/2%20-%20Full%20Notes/OAuth%202.0.md), [useful-code-snippets (github repo).md](./obsidian-vault/2%20-%20Full%20Notes/useful-code-snippets%20(github%20repo).md), [RefChecker (paper) - Reference-based Fine-grained Hallucination Checker and Benchmark for Large Language Models.md](./obsidian-vault/2%20-%20Full%20Notes/RefChecker%20(paper)%20-%20Reference-based%20Fine-grained%20Hallucination%20Checker%20and%20Benchmark%20for%20Large%20Language%20Models.md), [Causal Inference.md](./obsidian-vault/4%20-%20Maps%20of%20Content/Causal%20Inference.md), [Dependency Injection.md](./obsidian-vault/2%20-%20Full%20Notes/Dependency%20Injection.md), [Kelly Criterion (wikipedia).md](./obsidian-vault/3%20-%20Source%20Material/Kelly%20Criterion%20(wikipedia).md), [The Rasa CALM method.md](./obsidian-vault/2%20-%20Full%20Notes/The%20Rasa%20CALM%20method.md), [RagChecker (paper) - A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation.md](./obsidian-vault/2%20-%20Full%20Notes/RagChecker%20(paper)%20-%20A%20Fine-grained%20Framework%20for%20Diagnosing%20Retrieval-Augmented%20Generation.md), [Tasks which may be automated.md](./obsidian-vault/4%20-%20Maps%20of%20Content/Tasks%20which%20may%20be%20automated.md), [Named Entity Recognition (NER).md](./obsidian-vault/2%20-%20Full%20Notes/Named%20Entity%20Recognition%20(NER).md), [jwt.io (website).md](./obsidian-vault/3%20-%20Source%20Material/jwt.io%20(website).md), [hosting-7B-llm-on-google-cloud (github repo).md](./obsidian-vault/2%20-%20Full%20Notes/hosting-7B-llm-on-google-cloud%20(github%20repo).md), [Future Reading.md](./obsidian-vault/4%20-%20Maps%20of%20Content/Future%20Reading.md), [LLM SQL Agents.md](./obsidian-vault/2%20-%20Full%20Notes/LLM%20SQL%20Agents.md), [Past Reading.md](./obsidian-vault/2%20-%20Full%20Notes/Past%20Reading.md), [Mem0 - Building Production-Ready AI Agents with Scalable Long-Term Memory.md](./obsidian-vault/2%20-%20Full%20Notes/Mem0%20-%20Building%20Production-Ready%20AI%20Agents%20with%20Scalable%20Long-Term%20Memory.md), [Workout 2025.md](./obsidian-vault/2%20-%20Full%20Notes/Workout%202025.md), [Python.md](./obsidian-vault/4%20-%20Maps%20of%20Content/Python.md), [semantic-search-engine (github repo).md](./obsidian-vault/2%20-%20Full%20Notes/semantic-search-engine%20(github%20repo).md), [gmail-email-automation (github repo).md](./obsidian-vault/2%20-%20Full%20Notes/gmail-email-automation%20(github%20repo).md), [personal-projects (github repo).md](./obsidian-vault/2%20-%20Full%20Notes/personal-projects%20(github%20repo).md), [ChatGPT Prompt Engineering for Developers (DeepLearning.AI course).md](./obsidian-vault/2%20-%20Full%20Notes/ChatGPT%20Prompt%20Engineering%20for%20Developers%20(DeepLearning.AI%20course).md), [Advanced RAG Techniques.md](./obsidian-vault/4%20-%20Maps%20of%20Content/Advanced%20RAG%20Techniques.md), [Subnets.md](./obsidian-vault/2%20-%20Full%20Notes/Subnets.md), [happy-rag-friends (github repo).md](./obsidian-vault/2%20-%20Full%20Notes/happy-rag-friends%20(github%20repo).md), [LLM Prompting Strategies.md](./obsidian-vault/3%20-%20Source%20Material/LLM%20Prompting%20Strategies.md), [Domain Adaptation of LLMs.md](./obsidian-vault/2%20-%20Full%20Notes/Domain%20Adaptation%20of%20LLMs.md), [IP address strategies for web scraping.md](./obsidian-vault/2%20-%20Full%20Notes/IP%20address%20strategies%20for%20web%20scraping.md), [How to see the GPT-4 System Prompt.md](./obsidian-vault/2%20-%20Full%20Notes/How%20to%20see%20the%20GPT-4%20System%20Prompt.md), [dbt-example (github repo).md](./obsidian-vault/2%20-%20Full%20Notes/dbt-example%20(github%20repo).md), [LLM API Cost Comparison.md](./obsidian-vault/4%20-%20Maps%20of%20Content/LLM%20API%20Cost%20Comparison.md), [How Docker Containers Work.md](./obsidian-vault/2%20-%20Full%20Notes/How%20Docker%20Containers%20Work.md), [Collection of LLM Prompts.md](./obsidian-vault/4%20-%20Maps%20of%20Content/Collection%20of%20LLM%20Prompts.md), [Good API Design.md](./obsidian-vault/2%20-%20Full%20Notes/Good%20API%20Design.md), [AI in organizations - Some tactics (blog).md](./obsidian-vault/3%20-%20Source%20Material/AI%20in%20organizations%20-%20Some%20tactics%20(blog).md), [Data Transformation Tools.md](./obsidian-vault/2%20-%20Full%20Notes/Data%20Transformation%20Tools.md), [GCP Workflows Example (github repo).md](./obsidian-vault/2%20-%20Full%20Notes/GCP%20Workflows%20Example%20(github%20repo).md), [Build a Large Language Model (From Scratch).md](./obsidian-vault/3%20-%20Source%20Material/Build%20a%20Large%20Language%20Model%20(From%20Scratch).md), [Applied Large Language Model Concepts.md](./obsidian-vault/4%20-%20Maps%20of%20Content/Applied%20Large%20Language%20Model%20Concepts.md), [List of Useful Algorithms.md](./obsidian-vault/4%20-%20Maps%20of%20Content/List%20of%20Useful%20Algorithms.md), [LLM ReAct Prompting.md](./obsidian-vault/2%20-%20Full%20Notes/LLM%20ReAct%20Prompting.md), [LLM Agents.md](./obsidian-vault/2%20-%20Full%20Notes/LLM%20Agents.md), [how-much-remains (github repo).md](./obsidian-vault/2%20-%20Full%20Notes/how-much-remains%20(github%20repo).md), [Personal Development Areas.md](./obsidian-vault/4%20-%20Maps%20of%20Content/Personal%20Development%20Areas.md), [Cookie Security.md](./obsidian-vault/2%20-%20Full%20Notes/Cookie%20Security.md), [Reflexion - Language Agents with Verbal Reinforcement Learning.md](./obsidian-vault/2%20-%20Full%20Notes/Reflexion%20-%20Language%20Agents%20with%20Verbal%20Reinforcement%20Learning.md), [Brewer's Theorem (CAP theorem).md](./obsidian-vault/2%20-%20Full%20Notes/Brewer's%20Theorem%20(CAP%20theorem).md), [Shapley values and SHAP.md](./obsidian-vault/2%20-%20Full%20Notes/Shapley%20values%20and%20SHAP.md), [Reading Lists.md](./obsidian-vault/4%20-%20Maps%20of%20Content/Reading%20Lists.md), [Zero-shot Classification using Embeddings.md](./obsidian-vault/2%20-%20Full%20Notes/Zero-shot%20Classification%20using%20Embeddings.md), [LLM Jailbreaking Techniques.md](./obsidian-vault/4%20-%20Maps%20of%20Content/LLM%20Jailbreaking%20Techniques.md), [Inspired- how to create tech products customers love.md](./obsidian-vault/3%20-%20Source%20Material/Inspired-%20how%20to%20create%20tech%20products%20customers%20love.md), [GCP VM which creates other VMs.md](./obsidian-vault/2%20-%20Full%20Notes/GCP%20VM%20which%20creates%20other%20VMs.md), [The Kelly Criterion.md](./obsidian-vault/2%20-%20Full%20Notes/The%20Kelly%20Criterion.md), [Web Scraping Proxy Providers.md](./obsidian-vault/2%20-%20Full%20Notes/Web%20Scraping%20Proxy%20Providers.md), [OIDC.md](./obsidian-vault/2%20-%20Full%20Notes/OIDC.md), [Machine Learning Q \u0026 AI.md](./obsidian-vault/3%20-%20Source%20Material/Machine%20Learning%20Q%20\u0026%20AI.md), [Retrieval-Augmented Generation (RAG).md](./obsidian-vault/2%20-%20Full%20Notes/Retrieval-Augmented%20Generation%20(RAG).md), [LLM logprobs and temperature.md](./obsidian-vault/2%20-%20Full%20Notes/LLM%20logprobs%20and%20temperature.md), [GitHub Repos.md](./obsidian-vault/4%20-%20Maps%20of%20Content/GitHub%20Repos.md), [One-Shot and Few-Shot Learning.md](./obsidian-vault/2%20-%20Full%20Notes/One-Shot%20and%20Few-Shot%20Learning.md), [BTYD Modelling.md](./obsidian-vault/2%20-%20Full%20Notes/BTYD%20Modelling.md), [LLM Chain-of-Thought Prompting.md](./obsidian-vault/2%20-%20Full%20Notes/LLM%20Chain-of-Thought%20Prompting.md), [Machine Learning on Small Datasets.md](./obsidian-vault/4%20-%20Maps%20of%20Content/Machine%20Learning%20on%20Small%20Datasets.md), [Regex lookarounds (lookbehind lookahead).md](./obsidian-vault/2%20-%20Full%20Notes/Regex%20lookarounds%20(lookbehind%20lookahead).md), [Data Engineering Thesaurus.md](./obsidian-vault/4%20-%20Maps%20of%20Content/Data%20Engineering%20Thesaurus.md), [Productive Note-Taking Systems.md](./obsidian-vault/2%20-%20Full%20Notes/Productive%20Note-Taking%20Systems.md), [Current Reading.md](./obsidian-vault/4%20-%20Maps%20of%20Content/Current%20Reading.md), [mpd-tpd (github repo).md](./obsidian-vault/2%20-%20Full%20Notes/mpd-tpd%20(github%20repo).md), [Real Python Application Number 1.md](./obsidian-vault/2%20-%20Full%20Notes/Real%20Python%20Application%20Number%201.md), [BERT model.md](./obsidian-vault/2%20-%20Full%20Notes/BERT%20model.md), [Label Propagation Algorithm.md](./obsidian-vault/2%20-%20Full%20Notes/Label%20Propagation%20Algorithm.md), [Python Logging on GCP Compute Engine.md](./obsidian-vault/2%20-%20Full%20Notes/Python%20Logging%20on%20GCP%20Compute%20Engine.md), [Causal Inference for The Brave and True.md](./obsidian-vault/3%20-%20Source%20Material/Causal%20Inference%20for%20The%20Brave%20and%20True.md), [Association, Bias \u0026 Causation.md](./obsidian-vault/2%20-%20Full%20Notes/Association,%20Bias%20\u0026%20Causation.md), [A survey on large language model based autonomous agents (paper).md](./obsidian-vault/3%20-%20Source%20Material/A%20survey%20on%20large%20language%20model%20based%20autonomous%20agents%20(paper).md), [Data Engineering.md](./obsidian-vault/4%20-%20Maps%20of%20Content/Data%20Engineering.md), [Relational Database Normalisation.md](./obsidian-vault/2%20-%20Full%20Notes/Relational%20Database%20Normalisation.md), [Searching for Best Practices in Retrieval-Augmented Generation (paper).md](./obsidian-vault/3%20-%20Source%20Material/Searching%20for%20Best%20Practices%20in%20Retrieval-Augmented%20Generation%20(paper).md), [plotly-dash-dashboard-template (github repo).md](./obsidian-vault/2%20-%20Full%20Notes/plotly-dash-dashboard-template%20(github%20repo).md), [learning-rust (github repo).md](./obsidian-vault/2%20-%20Full%20Notes/learning-rust%20(github%20repo).md), [CIDI Prompting Strategy.md](./obsidian-vault/2%20-%20Full%20Notes/CIDI%20Prompting%20Strategy.md), [The Kernel Trick.md](./obsidian-vault/2%20-%20Full%20Notes/The%20Kernel%20Trick.md), [Data Ingestion Best Practices.md](./obsidian-vault/2%20-%20Full%20Notes/Data%20Ingestion%20Best%20Practices.md), [Important LLM Concepts.md](./obsidian-vault/4%20-%20Maps%20of%20Content/Important%20LLM%20Concepts.md)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fj-sephb-lt-n%2Fknowledge-base","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fj-sephb-lt-n%2Fknowledge-base","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fj-sephb-lt-n%2Fknowledge-base/lists"}