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Update app.py
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app.py
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@@ -30,35 +30,33 @@ import streamlit as st
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import streamlit.components.v1 as components
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def render_mermaid(mermaid_code, height=500):
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html_code = f"""
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<div class="mermaid">
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{mermaid_code}
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components.html(html_code, height=height)
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# --------------------------
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# Markdown Outlines as Variables
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# --------------------------
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md_combined_outline = r'''
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# π Hands On State of Art App Dev Using Mixture of Experts, Skills Knowledge, and Multiagent ML Architectures
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1. **π₯ Leadership and Collaboration (LeCo):** Strategic leadership and team management.
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2. **π Security and Compliance (SeCo):** Security operations, compliance, and system hardening.
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3. **π Data Engineering (DaEn):** Data processing, analytics, and governance.
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@@ -70,8 +68,7 @@ md_combined_outline = r'''
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9. **π― Specialized Domains (SpDo):** Advanced CV, robotics, HPC, and AI quantization.
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'''
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md_submodels_outline = r'''
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## 1. π₯ Leadership Management Collaboration (LeCo)
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1. **π Strategic and Cross-Functional Leadership:** Global strategy, team coordination and vendor management.
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2. **π€ Team Building and Agile Collaboration:** Coaching, agile processes and stakeholder management.
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3. **π‘ Domain Expertise and Innovation:** Deep AI framework knowledge and product strategy.
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@@ -120,8 +117,7 @@ md_submodels_outline = r'''
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4. **π’ AI Quantization and Inference:** Quantization techniques, in-browser inference and neural sparse models.
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'''
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md_glossary = r'''
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# π Glossary
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1. **π§ Systems Infrastructure (SyIn):** Hardware and OS-level operations enabling computing environments.
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2. **π» Software Cloud MLOps (SCMI):** Tools and processes for managing ML workflows and cloud infrastructures.
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3. **π€ Machine Learning AI (MLAI):** Techniques and architectures for developing and deploying AI models.
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@@ -136,8 +132,7 @@ md_glossary = r'''
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12. **MLOps (βοΈ):** Machine Learning Operations; practices for deploying and managing ML systems.
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'''
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md_python_libraries = r'''
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# π Python Libraries Guide
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1. **π₯ TensorFlow (tensorflow) -** Deep learning library for research and production.
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2. **π€ Huggingface Hub (huggingface_hub) -** Platform for sharing and accessing pre-trained models.
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3. **π Transformers (transformers) -** Library for NLP and model inference.
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@@ -160,8 +155,7 @@ md_python_libraries = r'''
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20. **π Requests (requests) -** HTTP library for Python.
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'''
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md_js_libraries = r'''
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# π» JavaScript Libraries Guide
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1. **π₯ React (react) -** Library for building UI components.
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2. **βοΈ Redux (redux) -** Predictable state container for JavaScript apps.
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3. **π Node.js (node) -** JavaScript runtime for building server-side applications.
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@@ -184,8 +178,7 @@ md_js_libraries = r'''
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20. **π Three.js (three) -** Library for creating 3D graphics in the browser.
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'''
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md_picture_mnemonic = r'''
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1. **1 - Lighthouse:** Represents #1, a beacon of guidance.
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2. **2 - Eyeglasses:** Symbolizes #2, two lenses for clarity.
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3. **3 - Stool:** Denotes #3, three legs for stability.
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4. **4 - Window:** Represents #4, four panes for insight.
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@@ -196,8 +189,7 @@ md_picture_mnemonic = r'''
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9. **9 - Cat:** Reminds of #9, nine lives and resilience.
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'''
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md_references = r'''
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## References
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[1](#references) McCarthy, M. J. (2007). *Mastering the INFORMATION AGE - A Course in Working Smarter, Thinking Better, and Learning Faster*. Retrieved from [https://www.example.com/reference](https://www.example.com/reference)
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'''
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# --------------------------
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mermaid_areas = {
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-
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graph LR
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LC[π₯ Leadership and Collaboration (LeCo)]
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LC --> LeCo1a[π Strategic and Cross-Functional Leadership - Global strategy, team coordination and vendor management]
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LC --> LeCo1b[π€ Team Building and Agile Collaboration - Coaching, agile processes and stakeholder management]
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LC --> LeCo1c[π‘ Domain Expertise and Innovation - Deep AI knowledge and product strategy]
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-
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"2. π Security and Compliance (SeCo)": r'''
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graph LR
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SC[π Security and Compliance (SeCo)]
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SC --> SeCo1[π‘οΈ Security Operations and Incident Response - Incident management, pen testing and vulnerability assessment]
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SC --> SeCo2[β
Compliance and Governance - Data quality, compliance policies and IAM]
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SC --> SeCo3[π System Hardening and Automation - Secure HPC, ML, Python, Bash automation and cost optimization]
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-
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"3. π Data Engineering (DaEn)": r'''
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graph LR
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DE[π Data Engineering (DaEn)]
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DE --> DaEn1[π§ Data Processing and Ingestion - Multi-modal data, event handling and ETL]
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DE --> DaEn2[π Analytics, Forecasting and Visualization - BI tools, dashboards and forecasting]
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DE --> DaEn3[π Data Governance and Quality - Modeling, warehousing and stakeholder communications]
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-
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"4. π’ Community OpenSource (CoOS)": r'''
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graph LR
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CO[π’ Community OpenSource (CoOS)]
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CO --> CoOS1[π Technical Documentation and Demos - Code examples, demos and notebooks]
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CO --> CoOS2[π¬ Community Engagement and Collaboration - Public speaking, social media engagement and collaborations]
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-
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"5. π± FullStack UI Mobile (FuMo)": r'''
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graph LR
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FM[π± FullStack UI Mobile (FuMo)]
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FM --> FuMo1[π± Mobile and Web App Development - Full-stack development, CI/CD and API design]
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FM --> FuMo2[π¨ UI/UX and Frontend Integration - React, Next.js, TypeScript and user-centric UI design]
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FM --> FuMo3[π Backend and Cross-Platform Tools - Python/Node, cloud microservices and ML bridging]
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-
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"6. π» Software Cloud MLOps (SCMI)": r'''
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graph LR
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SM[π» Software Cloud MLOps (SCMI)]
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SM --> SCMI1[π οΈ Developer Tooling and Observability - Full-stack development, debugging and SRE practices]
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SM --> SCMI2[π€ ML Frameworks and Automation - Python APIs, PyTorch, Keras and Ray, Horovod]
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SM --> SCMI3[π Data Pipelines and Processing - Spark, Airflow and ETL pipelines]
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SM --> SCMI4[βοΈ Cloud and Infrastructure Provisioning - Kubernetes, Docker, Terraform and cloud integration]
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"7. π€ Machine Learning AI (MLAI)": r'''
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graph LR
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ML[π€ Machine Learning AI (MLAI)]
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ML --> MLAI1[ποΈ Large-Scale Architectures and Retrieval - Transformers, RAG and vector databases]
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ML --> MLAI2[βοΈ Experimentation and Distributed Training - RL, quantization and ablation studies]
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ML --> MLAI3[π‘ Application and API Development - Agentic AI, LLM inference and microservices]
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ML --> MLAI4[π Optimization and Monitoring - Performance tuning, scaling and reliability]
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"8. π§ Systems Infrastructure (SyIn)": r'''
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graph LR
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SI[π§ Systems Infrastructure (SyIn)]
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SI --> SyIn1[π§ Hardware and OS Integration - Linux, embedded systems, C/C++ integrations]
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SI --> SyIn2[βοΈ Performance and Tuning - Cross-layer tuning, throughput modeling and load balancing]
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SI --> SyIn3[π€ Advanced ML and Automation - Cross-team innovation, observability and ServiceNow automation]
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SI --> SyIn4[π Distributed and HPC Deployment - Data-center HPC/ML, GPU orchestration and multi-GPU pipelines]
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"9. π― Specialized Domains (SpDo)": r'''
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graph LR
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SD[π― Specialized Domains (SpDo)]
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SD --> SpDo1[π₯ Advanced CV and 3D Graphics - Neural rendering, reconstruction and graphics engines]
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SD --> SpDo2[π Robotics and Autonomous Systems - Autonomous vehicles, sensor fusion and path planning]
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SD --> SpDo3[π» HPC and Hardware Integration - GPU/SoC modeling, HPC networking and prototyping]
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SD --> SpDo4[π’ AI Quantization and Inference - Quantization techniques, in-browser inference and neural sparse models]
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'''
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}
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combined_mermaid = r'''
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graph LR
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LC["1. π₯ Leadership and Collaboration (LeCo)"]
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SC["2. π Security and Compliance (SeCo)"]
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DE["3. π Data Engineering (DaEn)"]
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SC ---|π‘οΈ protects| SM
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ML -->|π§ feeds| DE
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SM -->|β‘ powers| ML
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FM
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FM -->|β extends to| SD
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SD ---|β¨ enhances| ML
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LC ---|ποΈ oversees| SC
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CO
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CO
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SD
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'''
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md_tweet = r'''
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# π¦ Tweet Summary
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Unlock your AI mastery with our densified skill tree - from LC to SD - each node paired with powerful mnemonics and vivid visuals (πΌππͺπͺβπ²βοΈπͺπ±) to boost memory and innovation. #AI #ML #Learning #Innovation
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'''
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md_picture_mnemonic = r'''
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1. **1 - Lighthouse:** Represents #1, a beacon of guidance.
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2. **2 - Eyeglasses:** Symbolizes #2, two lenses for clarity.
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3. **3 - Stool:** Denotes #3, three legs for stability.
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4. **4 - Window:** Represents #4, four panes for insight.
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@@ -319,8 +290,7 @@ md_picture_mnemonic = r'''
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9. **9 - Cat:** Reminds of #9, nine lives and resilience.
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'''
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md_references = r'''
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## References
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[1](#references) McCarthy, M. J. (2007). *Mastering the INFORMATION AGE - A Course in Working Smarter, Thinking Better, and Learning Faster*. Retrieved from [https://www.example.com/reference](https://www.example.com/reference)
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'''
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import streamlit.components.v1 as components
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def render_mermaid(mermaid_code, height=500):
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html_code = f"""<html>
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<head>
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<script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/mermaid.min.js"></script>
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<style>
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body {{
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background-color: white;
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font-family: sans-serif;
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}}
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</style>
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</head>
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<body>
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<div class="mermaid">
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{mermaid_code}
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</div>
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<script>
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mermaid.initialize({{startOnLoad:true}});
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</script>
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</body>
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</html>
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"""
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components.html(html_code, height=height)
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# --------------------------
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# Markdown Outlines as Variables
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# --------------------------
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md_combined_outline = r'''# π Hands On State of Art App Dev Using Mixture of Experts, Skills Knowledge, and Multiagent ML Architectures
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1. **π₯ Leadership and Collaboration (LeCo):** Strategic leadership and team management.
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2. **π Security and Compliance (SeCo):** Security operations, compliance, and system hardening.
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3. **π Data Engineering (DaEn):** Data processing, analytics, and governance.
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9. **π― Specialized Domains (SpDo):** Advanced CV, robotics, HPC, and AI quantization.
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'''
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md_submodels_outline = r'''## 1. π₯ Leadership Management Collaboration (LeCo)
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1. **π Strategic and Cross-Functional Leadership:** Global strategy, team coordination and vendor management.
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2. **π€ Team Building and Agile Collaboration:** Coaching, agile processes and stakeholder management.
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3. **π‘ Domain Expertise and Innovation:** Deep AI framework knowledge and product strategy.
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4. **π’ AI Quantization and Inference:** Quantization techniques, in-browser inference and neural sparse models.
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'''
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md_glossary = r'''# π Glossary
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1. **π§ Systems Infrastructure (SyIn):** Hardware and OS-level operations enabling computing environments.
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2. **π» Software Cloud MLOps (SCMI):** Tools and processes for managing ML workflows and cloud infrastructures.
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3. **π€ Machine Learning AI (MLAI):** Techniques and architectures for developing and deploying AI models.
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12. **MLOps (βοΈ):** Machine Learning Operations; practices for deploying and managing ML systems.
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'''
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md_python_libraries = r'''# π Python Libraries Guide
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1. **π₯ TensorFlow (tensorflow) -** Deep learning library for research and production.
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2. **π€ Huggingface Hub (huggingface_hub) -** Platform for sharing and accessing pre-trained models.
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3. **π Transformers (transformers) -** Library for NLP and model inference.
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20. **π Requests (requests) -** HTTP library for Python.
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'''
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md_js_libraries = r'''# π» JavaScript Libraries Guide
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1. **π₯ React (react) -** Library for building UI components.
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2. **βοΈ Redux (redux) -** Predictable state container for JavaScript apps.
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3. **π Node.js (node) -** JavaScript runtime for building server-side applications.
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20. **π Three.js (three) -** Library for creating 3D graphics in the browser.
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'''
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md_picture_mnemonic = r'''1. **1 - Lighthouse:** Represents #1, a beacon of guidance.
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2. **2 - Eyeglasses:** Symbolizes #2, two lenses for clarity.
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3. **3 - Stool:** Denotes #3, three legs for stability.
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4. **4 - Window:** Represents #4, four panes for insight.
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9. **9 - Cat:** Reminds of #9, nine lives and resilience.
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'''
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md_references = r'''## References
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[1](#references) McCarthy, M. J. (2007). *Mastering the INFORMATION AGE - A Course in Working Smarter, Thinking Better, and Learning Faster*. Retrieved from [https://www.example.com/reference](https://www.example.com/reference)
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'''
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# --------------------------
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mermaid_areas = {
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"1. π₯ Leadership and Collaboration (LeCo)": r'''graph LR
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LC[π₯ Leadership and Collaboration (LeCo)]
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LC --> LeCo1a[π Strategic and Cross-Functional Leadership - Global strategy, team coordination and vendor management]
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LC --> LeCo1b[π€ Team Building and Agile Collaboration - Coaching, agile processes and stakeholder management]
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LC --> LeCo1c[π‘ Domain Expertise and Innovation - Deep AI knowledge and product strategy]''',
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"2. π Security and Compliance (SeCo)": r'''graph LR
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SC[π Security and Compliance (SeCo)]
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SC --> SeCo1[π‘οΈ Security Operations and Incident Response - Incident management, pen testing and vulnerability assessment]
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SC --> SeCo2[β
Compliance and Governance - Data quality, compliance policies and IAM]
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SC --> SeCo3[π System Hardening and Automation - Secure HPC, ML, Python, Bash automation and cost optimization]''',
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"3. π Data Engineering (DaEn)": r'''graph LR
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DE[π Data Engineering (DaEn)]
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DE --> DaEn1[π§ Data Processing and Ingestion - Multi-modal data, event handling and ETL]
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DE --> DaEn2[π Analytics, Forecasting and Visualization - BI tools, dashboards and forecasting]
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DE --> DaEn3[π Data Governance and Quality - Modeling, warehousing and stakeholder communications]''',
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"4. π’ Community OpenSource (CoOS)": r'''graph LR
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CO[π’ Community OpenSource (CoOS)]
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CO --> CoOS1[π Technical Documentation and Demos - Code examples, demos and notebooks]
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CO --> CoOS2[π¬ Community Engagement and Collaboration - Public speaking, social media engagement and collaborations]''',
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"5. π± FullStack UI Mobile (FuMo)": r'''graph LR
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FM[π± FullStack UI Mobile (FuMo)]
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FM --> FuMo1[π± Mobile and Web App Development - Full-stack development, CI/CD and API design]
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FM --> FuMo2[π¨ UI/UX and Frontend Integration - React, Next.js, TypeScript and user-centric UI design]
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FM --> FuMo3[π Backend and Cross-Platform Tools - Python/Node, cloud microservices and ML bridging]''',
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"6. π» Software Cloud MLOps (SCMI)": r'''graph LR
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SM[π» Software Cloud MLOps (SCMI)]
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SM --> SCMI1[π οΈ Developer Tooling and Observability - Full-stack development, debugging and SRE practices]
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SM --> SCMI2[π€ ML Frameworks and Automation - Python APIs, PyTorch, Keras and Ray, Horovod]
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SM --> SCMI3[π Data Pipelines and Processing - Spark, Airflow and ETL pipelines]
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SM --> SCMI4[βοΈ Cloud and Infrastructure Provisioning - Kubernetes, Docker, Terraform and cloud integration]''',
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"7. π€ Machine Learning AI (MLAI)": r'''graph LR
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ML[π€ Machine Learning AI (MLAI)]
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ML --> MLAI1[ποΈ Large-Scale Architectures and Retrieval - Transformers, RAG and vector databases]
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ML --> MLAI2[βοΈ Experimentation and Distributed Training - RL, quantization and ablation studies]
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ML --> MLAI3[π‘ Application and API Development - Agentic AI, LLM inference and microservices]
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ML --> MLAI4[π Optimization and Monitoring - Performance tuning, scaling and reliability]''',
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"8. π§ Systems Infrastructure (SyIn)": r'''graph LR
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SI[π§ Systems Infrastructure (SyIn)]
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SI --> SyIn1[π§ Hardware and OS Integration - Linux, embedded systems, C/C++ integrations]
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SI --> SyIn2[βοΈ Performance and Tuning - Cross-layer tuning, throughput modeling and load balancing]
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| 241 |
SI --> SyIn3[π€ Advanced ML and Automation - Cross-team innovation, observability and ServiceNow automation]
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| 242 |
+
SI --> SyIn4[π Distributed and HPC Deployment - Data-center HPC/ML, GPU orchestration and multi-GPU pipelines]''',
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"9. π― Specialized Domains (SpDo)": r'''graph LR
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SD[π― Specialized Domains (SpDo)]
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SD --> SpDo1[π₯ Advanced CV and 3D Graphics - Neural rendering, reconstruction and graphics engines]
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SD --> SpDo2[π Robotics and Autonomous Systems - Autonomous vehicles, sensor fusion and path planning]
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SD --> SpDo3[π» HPC and Hardware Integration - GPU/SoC modeling, HPC networking and prototyping]
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+
SD --> SpDo4[π’ AI Quantization and Inference - Quantization techniques, in-browser inference and neural sparse models]'''
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| 249 |
}
|
| 250 |
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| 251 |
+
combined_mermaid = r'''graph LR
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| 252 |
LC["1. π₯ Leadership and Collaboration (LeCo)"]
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| 253 |
SC["2. π Security and Compliance (SeCo)"]
|
| 254 |
DE["3. π Data Engineering (DaEn)"]
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| 266 |
SC ---|π‘οΈ protects| SM
|
| 267 |
ML -->|π§ feeds| DE
|
| 268 |
SM -->|β‘ powers| ML
|
| 269 |
+
FM -->|π integrates with| SM
|
| 270 |
FM -->|β extends to| SD
|
| 271 |
SD ---|β¨ enhances| ML
|
| 272 |
LC ---|ποΈ oversees| SC
|
| 273 |
+
CO -->|π€ collaborates with| LC
|
| 274 |
+
CO -->|π£οΈ informs| DE
|
| 275 |
+
SD -->|π shares with| CO
|
| 276 |
'''
|
| 277 |
|
| 278 |
+
md_tweet = r'''# π¦ Tweet Summary
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| 279 |
Unlock your AI mastery with our densified skill tree - from LC to SD - each node paired with powerful mnemonics and vivid visuals (πΌππͺπͺβπ²βοΈπͺπ±) to boost memory and innovation. #AI #ML #Learning #Innovation
|
| 280 |
'''
|
| 281 |
|
| 282 |
+
md_picture_mnemonic = r'''1. **1 - Lighthouse:** Represents #1, a beacon of guidance.
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|
| 283 |
2. **2 - Eyeglasses:** Symbolizes #2, two lenses for clarity.
|
| 284 |
3. **3 - Stool:** Denotes #3, three legs for stability.
|
| 285 |
4. **4 - Window:** Represents #4, four panes for insight.
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|
| 290 |
9. **9 - Cat:** Reminds of #9, nine lives and resilience.
|
| 291 |
'''
|
| 292 |
|
| 293 |
+
md_references = r'''## References
|
|
|
|
| 294 |
[1](#references) McCarthy, M. J. (2007). *Mastering the INFORMATION AGE - A Course in Working Smarter, Thinking Better, and Learning Faster*. Retrieved from [https://www.example.com/reference](https://www.example.com/reference)
|
| 295 |
'''
|
| 296 |
|