diff --git a/README.md b/README.md index b9f6270..9e2a320 100644 --- a/README.md +++ b/README.md @@ -1,44 +1,33 @@ # WOLFcon 2024 AI Preconference -Submission [form](https://docs.google.com/forms/d/e/1FAIpQLSdwNClXIoe9YQGhQKYDvU0msyj8lkyruHSsssR4lQp_vCYdgA/viewform), -conference [website](https://openlibraryfoundation.org/about/wolfcon/upcoming/) - -## Potential Topics -- Generative AI for Cataloging -- Generative AI for FOLIO Documentation -- Using Generative AI to support orphaned modules - - Microsoft copilot - - [Devin](https://www.cognition-labs.com/blog) - - Google [Gemini Code Assistant](https://cloud.google.com/products/gemini/code-assist) - - -## Title: FOLIO - -## Description -This all day pre-conference introduces Artificial Intelligence to the FOLIO community -with a focus on using Generative AI with FOLIO and Okapi. Participants in the morning -will survey the application and ethical considerations of using AI in libraries, ending -with exercises using ChatGPT and other LLMs. The afternoon will continue the exploration -of Generative AI using the *Chatting with Catalogs* application with specific AI and FOLIO -workflows demonstration with participants being able to actual use AI with FOLIO. The -preconference will end with open-ended call-to-action on how AI could be further integrated -and adopted by FOLIO. - -## Full Day Proposal - -### Morning Session -- Introduction to the full-day preconference on AI, Machine Learning, and FOLIO -- Types of AI and Machine Learning techniques relevant to Libraries -- Ethical Considerations in AI and Machine Learning for Libraries -- Exploring ChatGPT, Claude, and Google Gemini LLMs - -### Afternoon Session -- Generative AI Use cases for FOLIO - - Automated metadata generation and enrichment - - Improving user and technical documentation - - Analysis and management of Financial Orders and Invoices - - Collection management and optimization - - Technical support for Orphaned Modules -- Recommended resources for further learning and professional development in AI and Machine Learning -- Next steps for adopting AI and ML in FOLIO + +## Prerequisites + +### Required +Please completed the following items before the workshop: + +- Email (or [signup](https://github.com/signup) first) your Github user name to jpnelson@stanford.edu +- After receiving your Github user name, you'll be added as a collaborator on the following repositories related to the course: + - [edge-ai](https://github.com/folio-labs/edge-ai/) + - [ai-workflows]() +- Ensure you can access at least two of the following LLM services (may require creating an account): + - [ChatGPT](https://chatgpt.com/) + - [Antropic Claude](https://www.anthropic.com/claude) + - [Google Gemini](https://gemini.google.com/) + - [Meta's Llama](https://llama.meta.com/") +- Go to the following [wiki page](https://github.com/folio-labs/ai-workflows/wiki) and select at + least two of the use-cases you are interested in exploring. Rank your choices. (If you would like to add + an AI use case that isn't listed, add a [new wiki page](https://github.com/folio-labs/ai-workflows/wiki/_new) + but be prepared for follow-up questions!) + +### Optional +For those participants who are more technically inclined, the following items are optional but +would allow for greater engagement and increase the utility of the workshop: + +- Clone the edge-ai repository: `git clone https://github.com/folio-labs/edge-ai.git` +- Clone the ai-workflows repository: `git clone https://github.com/folio-labs/ai-workflows.git` +- Install [Docker Desktop](https://www.docker.com/products/docker-desktop/) with at least 10 GB + of memory to run [Airflow](https://airflow.apache.org/"). +- Download and install [gpt4all](https://www.nomic.ai/gpt4all"); download a Llama-based model. + diff --git a/checklist.md b/checklist.md index f9cd5cf..9438ae2 100644 --- a/checklist.md +++ b/checklist.md @@ -149,7 +149,7 @@ - [x] Generation from Markdown - [x] Bootstrap design template - [x] Home page - - [ ] Deployment to Github pages + - [x] Deployment to Github pages ## edge-ai - [ ] Github Actions - [ ] Run pytest, ruff on PR @@ -163,7 +163,7 @@ - [x] Mermaid Diagram - [ ] Embeddings - [ ] Retrieve Vector - - [ ] Generate Vector + - [x] Generate Vector - [ ] Finance Endpoint - [ ] Order Validation - [ ] Invoice Validation diff --git a/generate.py b/generate.py index 67ad1ca..167f002 100644 --- a/generate.py +++ b/generate.py @@ -57,7 +57,7 @@ {% block main %}
-
+
-
+

Workshop

{{ page_navigation|safe }}
-
+

Prerequisites

+
+
Required
+
+

+ Please completed the following items before the workshop: +

+
    +
  1. + Email (or signup first) your Github user name to + jpnelson@stanford.edu +
    2. +
  2. + After receiving your Github user name, you'll be added as a collaborator on the following + repositories related to the course: + +
    3. +
  3. Ensure you can access at least two of the following LLM services (may require creating an account): + +
    4. +
  4. + Go to the following wiki page and select + at least two of the use-cases you are interested in exploring. Rank your choices. + (If you would like to add an AI use case that isn't listed, add a new wiki page but + be prepared for follow-up questions!) +
    5. +
+
+
+
+
+
Optional
+
+

+ For those participants who are more technically inclined, the following items are optional but + would allow for greater engagement and increase the utility of the workshop: +

+
    +
  1. Clone the edge-ai repository: + git clone https://github.com/folio-labs/edge-ai.git +
    2. +
  2. + Clone the ai-workflows repository: + git clone https://github.com/folio-labs/ai-workflows.git +
    3. +
  3. Install Docker Desktop with at least + 10 GB of memory to run Airflow. +
    4. +
  4. + Download and install gpt4all; download a Llama-based + model. +
    5. +
+
+
+
{% endblock %} diff --git a/index.html b/index.html index 581ce3e..d70ec9b 100644 --- a/index.html +++ b/index.html @@ -20,7 +20,7 @@

23 September 2024

-
+
-
+

Workshop

  1. Introduction to WOLFcon AI Pre-conference Workshop
  2. General Overview of AI and Machine Learning for Libraries
  3. Ethical Considerations on using AI and Machine Learning for Libraries
  4. Exploring Large Language Models
  5. FOLIO AI Use Cases
  6. Next Steps for Adopting AI and Machine Learning in FOLIO
  7. Recommended Resources for Further Learning
-
+

Prerequisites

+
+
Required
+
+

+ Please completed the following items before the workshop: +

+
    +
  1. + Email (or signup first) your Github user name to + jpnelson@stanford.edu +
    2. +
  2. + After receiving your Github user name, you'll be added as a collaborator on the following + repositories related to the course: + +
    3. +
  3. Ensure you can access at least two of the following LLM services (may require creating an account): + +
    4. +
  4. + Go to the following wiki page and select + at least two of the use-cases you are interested in exploring. Rank your choices. + (If you would like to add an AI use case that isn't listed, add a new wiki page but + be prepared for follow-up questions!) +
    5. +
+
+
+
+
+
Optional
+
+

+ For those participants who are more technically inclined, the following items are optional but + would allow for greater engagement and increase the utility of the workshop: +

+
    +
  1. Clone the edge-ai repository: + git clone https://github.com/folio-labs/edge-ai.git +
    2. +
  2. + Clone the ai-workflows repository: + git clone https://github.com/folio-labs/ai-workflows.git +
    3. +
  3. Install Docker Desktop with at least + 10 GB of memory to run Airflow. +
    4. +
  4. + Download and install gpt4all; download a Llama-based + model. +
    5. +
+
+
+