feat: Copied references to sources for edge-ai Topic

checklist.md

@@ -124,7 +124,7 @@
     - [ ] edge-ai
       - [x] 250 words
       - [ ] LLMs copyedit
-      - [ ] References copied into resources
+      - [x] References copied into resources
     - [ ] Conclusion
       - [ ] 250 words
       - [ ] LLMs copyedit

next-steps-for-adopting-ai-and-ml-in-folio/edge-ai.html

@@ -29,7 +29,7 @@ <h1>Edge AI Module and AI Workflows</h1>
 <li>OpenAI's ChatGPT (requires an API token)</li>
 <li>Anthropic Claude (requires an API token)</li>
 <li>Google Gemini (requires an API token)</li>
-<li>Locally hosted Llama model (through a hosted <a href="">GPT4ALL</a> or <a href="https://github.com/ggerganov/llama.cpp">LLaMA.cpp</a> instance)</li>
+<li>Locally hosted Llama model (through a hosted <a href="https://www.nomic.ai/gpt4all">GPT4ALL</a> or <a href="https://github.com/ggerganov/llama.cpp">LLaMA.cpp</a> instance)</li>
 </ul>
 <h2>Existing API endpoints</h2>
 <h3>Inventory</h3>
@@ -39,25 +39,25 @@ <h3>Inventory</h3>
 <h3>Circulation</h3>
 <h3>Finance</h3>
 <h2>AI Workflows</h2>
-<p>The <a href="https://github.com/folio-labs/ai-workflows">ai-workflows</a> is a proof-of-concept open-source repository that </p>
+<p>The <a href="https://github.com/folio-labs/ai-workflows">ai-workflows</a> is a proof-of-concept open-source repository that is run in the open-source
+workflow [Apache Airflow]</p>
 <h3>What about mod-workflow?</h3>
-<p>There is nothing that would prevent <a href="https://github.com/folio-labs/edge-ai">edge-ai</a> to use the new [mod-workflows][MOD_WRKFLW]
+<p>There is nothing that would prevent <a href="https://github.com/folio-labs/edge-ai">edge-ai</a> to use the new <a href="https://github.com/folio-org/mod-workflow">mod-workflows</a>
 module in FOLIO once it is available for use and release. The current Directed Acyclic Graphs (DAGs) in
-<a href="https://github.com/folio-labs/ai-workflows">ai-workflows</a> are simple enough that could be ported to [mod-workflows][MOD_WRKFLW] directly.</p>
+<a href="https://github.com/folio-labs/ai-workflows">ai-workflows</a> are simple enough that could be ported to <a href="https://github.com/folio-org/mod-workflow">mod-workflows</a> directly.</p>
 <p>Where the <a href="https://github.com/folio-labs/ai-workflows">ai-workflows</a> is positioned to support more complex DAGs and other features beyond
-<a href="https://github.com/folio-labs/edge-ai">edge-ai</a> and the planned functionality of [mod-workflows][MOD_WRKFLW] and should be able to 
+<a href="https://github.com/folio-labs/edge-ai">edge-ai</a> and the planned functionality of <a href="https://github.com/folio-org/mod-workflow">mod-workflows</a> and should be able to 
 compliment and support both. </p>
 <h2>Connection to FOLIO AI Use-cases</h2>
 <p>From the edge-ai's use-cases hosted in the repository's wiki, a set of requirements are
-being formulated (thank-you for help!) and will help prioritize the development of <a href="https://github.com/folio-labs/edge-ai">edge-ai</a>.</p>
+being formulated (thank-you for the help during this workshow!) and will help prioritize the development of <a href="https://github.com/folio-labs/edge-ai">edge-ai</a>.</p>
 <h2>TODO</h2>
 <ul>
 <li>Automate the deployment of the <a href="https://github.com/folio-labs/edge-ai">edge-ai</a> to a FOLIO environment API service, 
   either <a href="https://github.com/folio-org/okapi">Okapi</a> or <a href="https://konghq.com/">Kong</a></li>
 <li>Increase Unit test coverage</li>
 <li>Add Integration Tests</li>
 </ul>
-<p>[MOD_WRKFLW]: </p>
         </article>
         <div class="col-3">
           <h4>Navigation</h4>

next-steps-for-adopting-ai-and-ml-in-folio/edge-ai.md

@@ -7,7 +7,7 @@ Generative AI services:
 - OpenAI's ChatGPT (requires an API token)
 - Anthropic Claude (requires an API token)
 - Google Gemini (requires an API token)
-- Locally hosted Llama model (through a hosted [GPT4ALL]() or [LLaMA.cpp](https://github.com/ggerganov/llama.cpp) instance)
+- Locally hosted Llama model (through a hosted [GPT4ALL](https://www.nomic.ai/gpt4all) or [LLaMA.cpp](https://github.com/ggerganov/llama.cpp) instance)
 
 ## Existing API endpoints
 
@@ -21,7 +21,8 @@ use-case.
 ### Finance
 
 ## AI Workflows
-The [ai-workflows][AI_WRKFLW] is a proof-of-concept open-source repository that 
+The [ai-workflows][AI_WRKFLW] is a proof-of-concept open-source repository that is run in the open-source
+workflow [Apache Airflow]
 
 ### What about mod-workflow?
 There is nothing that would prevent [edge-ai][EDGE_AI] to use the new [mod-workflows][MOD_WRKFLW]
@@ -34,7 +35,7 @@ compliment and support both.
 
 ## Connection to FOLIO AI Use-cases
 From the edge-ai's use-cases hosted in the repository's wiki, a set of requirements are
-being formulated (thank-you for help!) and will help prioritize the development of [edge-ai][EDGE_AI].
+being formulated (thank-you for the help during this workshow!) and will help prioritize the development of [edge-ai][EDGE_AI].
 
 
 
@@ -44,8 +45,9 @@ being formulated (thank-you for help!) and will help prioritize the development
 - Increase Unit test coverage
 - Add Integration Tests
 
+[AIRFLOW]: https://airflow.apache.org/
 [AI_WRKFLW]: https://github.com/folio-labs/ai-workflows
 [EDGE_AI]: https://github.com/folio-labs/edge-ai
 [KONG]: https://konghq.com/
-[MOD_WRKFLW]: 
+[MOD_WRKFLW]: https://github.com/folio-org/mod-workflow
 [OKAPI]: https://github.com/folio-org/okapi

recommended-resources-for-further-learning/sources.html

@@ -219,6 +219,16 @@ <h3>Training Large Language Models (LLMs)</h3>
 <li><a href="https://github.com/ggerganov/llama.cpp/blob/master/docs/docker.md">LLaMA.cpp with Docker</a></li>
 <li><a href="https://github.com/abetlen/llama-cpp-python">LLaMA.cpp Python SDK</a></li>
 <li><a href="https://openai.com/">Open AI</a></li>
+</ul>
+<h2>Next Steps for Adopting AI and Machine Learning in FOLIO</h2>
+<h3>Edge AI Module</h3>
+<ul>
+<li><a href="https://airflow.apache.org/">Apache Airflow</a></li>
+<li><a href="https://github.com/folio-labs/ai-workflows">AI Workflows using Airflow</a></li>
+<li><a href="https://github.com/folio-labs/edge-ai">Edge AI Module</a></li>
+<li><a href="https://github.com/folio-org/okapi">FOLIO Okapi</a></li>
+<li><a href="https://konghq.com/">Kong API Server</a></li>
+<li><a href="https://github.com/folio-org/mod-workflow">mod-workflow</a></li>
 </ul>
         </article>
         <div class="col-3">

recommended-resources-for-further-learning/sources.md

@@ -178,4 +178,15 @@
 - [LLaMA.cpp Python SDK](https://github.com/abetlen/llama-cpp-python)
 - [Open AI](https://openai.com/)
 
+## Next Steps for Adopting AI and Machine Learning in FOLIO
+
+### Edge AI Module
+- [Apache Airflow](https://airflow.apache.org/)
+- [AI Workflows using Airflow](https://github.com/folio-labs/ai-workflows)
+- [Edge AI Module](https://github.com/folio-labs/edge-ai)
+- [FOLIO Okapi](https://github.com/folio-org/okapi)
+- [Kong API Server](https://konghq.com/)
+- [mod-workflow](https://github.com/folio-org/mod-workflow)
+
+