Next-Gen Documentation
Transforming Learning Materials Effortless
You can become a driving Force in the new creators economy!!!
Arunima Chaudhuri �(LFX Mentee)
Barbara (Bobbi) Muscara, M.Ed�(Mentor)
Tripur Joshi �(Technical Writer)
Akanksha Rani�(LFX Mentee)
Gianluca (Software Engineer)
Kajal Kumari (Coder & Developer)
AI Trends in Enterprise Documentation
Hyperledger Documentation Task Force
Agenda�
AI Trends in Enterprise Documentation
Final Recommendations
Documentation Excellence
Continuous Improvement
Chat GPT -Arunima
Documentation Excellence
Continuous Improvement
Chat GPT Prompts
Documentation Excellence
Continuous Improvement
Gamma - Kajal
Documentation Excellence
Continuous Improvement
Whimsical- Tripur
Documentation Excellence
Continuous Improvement
Pictory AI - Akanksha
Documentation Excellence
Continuous Improvement
Chat FAQ - Gianluca
Documentation Excellence
Continuous Improvement
Library Metaverse -All
Thank You
QNA
Documentation Excellence
Continuous Improvement
Documentation Task Force: Goals
Hyperledger Documentation �
Task Force Leader
Documentation Task Force: Objectives�
Hyperledger Documentation Task Force
Agenda�
Goals and Objectives� Areas for Recommendations
AI Trends in Enterprise Documentation
Final Recommendations
Hyperledger Documentation Task Force�
GitHub Templates
GitHub Templates Committee Chair Gianluca
The purpose of this committee is to guide community maintainers and new community maintainers through the process of getting a project through the stages in the project life cycle by providing checklists, templates, and guides.
PROPOSAL
GRADUATED
INCUBATION
MAINTENANCE
UPDATES
Hyperledger �Maintainers �GitHub Support
GitHub Requirements
PROPOSAL
User Guides
Tokens / Badging
https://labs.hyperledger.org/
The process to propose a new lab
Checklist
Dashboards
Hyperledger Documentation Task Force
Agenda�
Goals and Objectives� Areas for Recommendations
AI Trends in Enterprise Documentation
Final Recommendations
Hyperledger Documentation �
Make The Docs
Make the Docs�(Introduction)
Hyperledger offers premium tools, including Make the Docs, which is remains relatively unknown among Hyperledger community members.
Limited awareness creates challenges for projects seeking documentation solutions.
This knowledge gap leads to a quest for alternative free open-source documentation platforms.
Make the Docs is a valuable resource, but there are alternatives.
Make the Docs [A quick Set-up Guide]
Install Python and Pip
Install MkDocs �
Install custom themes
Configure Site Settings
Make the Docs Vs GitBook
Set-up
Ease of use
Collaboration
Version control
Analytics
A.I. Tool
Demo!
A.I. Tool
Demo!
Hyperledger Documentation Task Force
Agenda�
Goals and Objectives� Areas for Recommendations
AI Trends in Enterprise Documentation
Final Recommendations
Hyperledger Documentation �
Community Templates
Community Templates
What does templates community do?
Revolutionising the documentation with awesome AI tools:
Problems and Opportunities
on Existing Templates
Templates available:
Research Case Study: Link
Jambot: Figma’s revolutionary AI tool
Figma, the renowned collaborative design platform, has achieved a significant milestone with the introduction of Jambot, an AI-powered design tool. Jambot represents a significant advancement for Figma, as it offers the potential to enhance various aspects of the platform.
Demo Link: Link
Hyperledger Documentation Task Force
Agenda�
Goals and Objectives� Areas for Recommendations
AI Trends in Enterprise Documentation
Final Recommendations
Hyperledger Documentation �Development Guide
Best Practices
Best Practice Guidelines
Documentation Badging
Community Dashboards
Purpose :
Persona :
Create 4
sections
Per persona
Maintainers
Dashboard
Contributors Dashboard
Community
Members
Community
Curious
Hyperledger Documentation Task Force
Agenda�
Goals and Objectives� Areas for Recommendations
AI Trends in Enterprise Documentation
Final Recommendations
Hyperledger Documentation �
Community User Guides – Creation and Accessibility
Content Creation Dashboards for User Guides
Learnworld features and functionalities demonstrate how content creation dashboards can be seamlessly integrated into Hyperledger Community workflow.
Hyperledger Documentation Task Force
Agenda�
Goals and Objectives� Areas for Recommendations
AI Trends in Enterprise Documentation
Final Recommendations
Hyperledger Documentation Task Force
Agenda�
Goals and Objectives� Areas for Recommendations
AI Trends in Enterprise Documentation
Final Recommendations
Community Documentation -AI powered User Guides
COURSE PLANNER�AI powered tools to assist in generating course outlines and learning activities
EBOOK WRITER�AI Crafted comprehensive ebooks to systematically develop learning tracks to convey knowledge effectively to designated audiences
ASSESSMENT DESIGNER�Swiftly create diverse precise assessments with AI efficiency and accuracy,�
LEARNING TOKENS
Reward learners with Learning Tokens for educational bonuses
FEEDBACK GENERATOR�Deliver constructive and personalized feedback promptly (no pun intended)
EMAIL CREATOR�Engage learners with AI enhanced impactful emails fostering motivation.
CONTENT EDITOR�Elevate content quality with AI-polished text ensuring clarity and consistency.q
AI Tool FAQ - Gianluca
Open Source AI tool: Proof-of-Concept
Gianluca Capuzzi
Goal: implement a proof-of-concept
Technology: Transformers
Main applications in Natural Language Processing:
Architecture of XLM-R (based on BERT)
560M parameters
SQuAD dataset
100.000 questions and answers sampling English articles from Wikipedia
Transfer learning: “To give you a sense of the difference between fine-tuning and training a model, fine-tuning is like taking your car to the mechanic and getting new spark plugs whereas training/pre-training is like getting a whole new engine.”
Fine tuning using Hyperledger documentation (domain adaptation)
Retriever-Reader QA architecture
Extractive QA
Retriever | QA Pipeline | Reader |
Elastic Search | Haystack library | XLM-R |
Search the most relevant documents from the Document Store | | Extract the answer from the relevant documents |
Demo
Future improvements
| Current | | Future | |
Model | XLM-R | 560M parameters | GPT2, GPT-J, GPT4All | 1.5B - 6B parameters |
Dataset | Hyperledger | 2 documents | Hyperledger | hundreds of documents |
Retriever | Elastic Search | | FAISS | embeddigs |
Technique | Extractive | | RAG | Generative |
CPU/GPU | CPU | | CPU + GPU | |
Present the outcome of the project
whitepaper
blog article (medium.com)
linkedin post
github repository
documentation (requirements, installation, usage, …)
model share on hugging face
Hyperledger Documentation Task Force
Agenda�
Goals and Objectives� Areas for Recommendations
AI Trends in Enterprise Documentation
Final Recommendations
Recommendations
ETHGlobal https://ethglobal.com/
Hyperledger Metaverse Library
Thank You
QNA