{"id":20990448,"url":"https://github.com/filimoa/bridging-data-divides-workbook","last_synced_at":"2025-03-13T12:16:32.959Z","repository":{"id":262353962,"uuid":"886455285","full_name":"Filimoa/bridging-data-divides-workbook","owner":"Filimoa","description":null,"archived":false,"fork":false,"pushed_at":"2025-02-06T00:32:15.000Z","size":41977,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-05T18:37:58.519Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Filimoa.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}},"created_at":"2024-11-11T02:12:42.000Z","updated_at":"2025-02-06T00:32:18.000Z","dependencies_parsed_at":"2025-02-06T01:32:48.490Z","dependency_job_id":null,"html_url":"https://github.com/Filimoa/bridging-data-divides-workbook","commit_stats":null,"previous_names":["filimoa/bridging-data-divides-workbook"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Filimoa%2Fbridging-data-divides-workbook","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Filimoa%2Fbridging-data-divides-workbook/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Filimoa%2Fbridging-data-divides-workbook/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Filimoa%2Fbridging-data-divides-workbook/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Filimoa","download_url":"https://codeload.github.com/Filimoa/bridging-data-divides-workbook/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243401510,"owners_count":20285059,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":[],"created_at":"2024-11-19T06:32:19.395Z","updated_at":"2025-03-13T12:16:32.950Z","avatar_url":"https://github.com/Filimoa.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Bridging Data Divides Workbook\n\nThis repo accompanies the Bridging Data Divides CAS Essay, providing a hands-on workbook and notebook examples that demonstrate the concepts discussed—such as retrieval-augmented generation, embeddings, and structured outputs. It’s designed to help actuaries and data professionals explore practical ways to unify and analyze unstructured data, apply AI techniques to real-world scenarios, and integrate these insights into existing insurance workflows.\n\n## Setup\n  \n1. **Clone the Repository:**\n\n```bash\ngit clone https://github.com/Filimoa/bridging-data-divides-workbook.git\n```\n      \n2. **Check you have Python installed:**\n\nMake sure you have Python \u003e= 3.9 installed. If you're on a work computer, you may need admin privileges to install Python.\n\nYou can check you have python by running:\n```bash\npython --version\n```\n\n3. **Install the required packages:**\n\nMac/Linux:\n```bash\npython -m venv .venv\nsource .venv/bin/activate\npip install -r requirements.txt\n```\n\nWindows:\n```bash\npython -m venv .venv\n.venv\\Scripts\\activate\npip install -r requirements.txt\n```\n\n4. **Run the notebook:**\n\n```bash\njupyter notebook\n```\n\nThen you can open the notebook in your browser.\n\n5. **API Keys:**\n\nThis notebook uses an OpenAI-based approach for simplicity. Given the low token usage, it should only cost a few cents to run.\n\n- If you're new to the OpenAI API, [sign up for an account](https://platform.openai.com/signup).\n- Follow the [Quickstart](https://platform.openai.com/docs/quickstart) to retrieve your API key.\n\nYou can paste that key into the notebook in the cell that starts with \n\n```python\nos.environ[\"OPENAI_API_KEY\"] = \"YOUR_API_KEY\"\n```\n\nMake sure to replace `YOUR_API_KEY` with your actual API key and uncomment the line (remove the `#` at the beginning of the line).\n\n\u003e ⚠️ **Work Computer SSL Issues:** Some corporate networks may block access to OpenAI’s API, leading to SSL verification errors. If you encounter this issue, consider:  \n\u003e - Running the notebook on a personal computer.  \n\u003e - Using the [hosted Colab version](https://colab.research.google.com/drive/15uvMEzytBbf65HBhjh82-mHDTK6GnYt5) (ensure your VPN is off).  \n\u003e - Checking with your IT team for potential workarounds, such as configuring SSL settings or using a company-approved proxy.\n\n## Hosted Colab Version:\n\nFor those who don't want to setup Python, you can use the hosted Colab version of the notebook. Note this does require a Google account and it may be blocked by your company's security policies.\n\n[Open In Colab](https://colab.research.google.com/drive/15uvMEzytBbf65HBhjh82-mHDTK6GnYt5)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffilimoa%2Fbridging-data-divides-workbook","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffilimoa%2Fbridging-data-divides-workbook","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffilimoa%2Fbridging-data-divides-workbook/lists"}