Add mkdocs support

.github/workflows/github_pages.yaml

@@ -0,0 +1,28 @@
+name: ci 
+on:
+  push:
+    branches:
+      - development 
+permissions:
+  contents: write
+jobs:
+  deploy:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - name: Configure Git Credentials
+        run: |
+          git config user.name github-actions[bot]
+          git config user.email 41898282+github-actions[bot]@users.noreply.github.com
+      - uses: actions/setup-python@v5
+        with:
+          python-version: 3.x
+      - run: echo "cache_id=$(date --utc '+%V')" >> $GITHUB_ENV 
+      - uses: actions/cache@v4
+        with:
+          key: mkdocs-material-${{ env.cache_id }}
+          path: .cache
+          restore-keys: |
+            mkdocs-material-
+      - run: pip install -r requirements.txt
+      - run: mkdocs gh-deploy --force

.gitignore

@@ -0,0 +1,2 @@
+site/*
+.vscode/*

README.md

@@ -9,15 +9,15 @@ A multi-part seminar series on Large Language Models (LLMs).
 
 <p align="center"><a href="https://xmind.works/share/cmFNh1uK?xid=SjTLV1U0">Large Language Models Full Topic List</a></p>
 
-## 👉 [Emergence, Fundamentals and Landscape of LLMs](session_1)
+## ✨ [Emergence, Fundamentals and Landscape of LLMs](session_1)
 
 Covers important building blocks of what we call an LLM today, where they came from, etc. and then we'll dive into the deep universe that has sprung to life around these LLMs.
 
 ![Session 1](images/home_page/Session%201.png)
 
 
 
-## 👉 Universe of Pretrained LLMs and Prompt Engineering
+## ✨ Universe of Pretrained LLMs and Prompt Engineering
 
 In this session, we will introduce various pretrained LLMs, encompassing both open source and proprietary options. We will explore differrnt prompt engineering techniques to use pretrained LLMs for different tasks.
 
@@ -26,39 +26,39 @@ In this session, we will introduce various pretrained LLMs, encompassing both op
 
 Coming soon...
 
-## 👉 Applications of LLMs and Application Development Frameworks
+## ✨ Applications of LLMs and Application Development Frameworks
 
 Explore diverse applications of Large Language Models (LLMs) and the frameworks essential for streamlined application development. Uncover how LLMs can revolutionize tasks and leverage frameworks for efficient integration into real-world applications.
 
 ![Session 3](images/home_page/Session%203.png)
 
 Coming soon...
 
-## 👉 Training and Evaluating LLMs On Custom Datasets
+## ✨ Training and Evaluating LLMs On Custom Datasets
 
 Delve into the intricacies of training and evaluating Large Language Models (LLMs) on your custom datasets. Gain insights into optimizing performance, fine-tuning, and assessing model effectiveness tailored to your specific data.
 
 ![Session 4](images/home_page/Session%204.png)
 
 Coming soon...
 
-## 👉 Optimizing LLMs For Inference and Deployment Techniques
+## ✨ Optimizing LLMs For Inference and Deployment Techniques
 
 Learn techniques to optimize Large Language Models (LLMs) for efficient inference. Explore strategies for seamless deployment, ensuring optimal performance in real-world applications.
 
 ![Session 5](images/home_page/Session%205.png)
 
 Coming soon...
 
-## 👉 Open Challanges With LLMs
+## ✨ Open Challanges With LLMs
 
 Delve into the dichotomy of small vs large LLMs, navigating production challenges, addressing research hurdles, and understanding the perils associated with the utilization of pretrained LLMs. Explore the evolving landscape of challenges within the realm of Large Language Models.
 
 ![Session 6](images/home_page/Session%206.png)
 
 Coming soon...
 
-## 👉 LLM Courses
+## ✨ LLM Courses
 
 List of courses to learn LLMs at your own pace.
 

mkdocs.yaml

@@ -0,0 +1,54 @@
+site_name: Large Language Models Seminar Series
+copyright: Copyright © 2024 Infocusp Innovations LLP
+repo_url: https://github.com/InFoCusp/llm_seminar_series
+docs_dir: .
+site_dir: ../site
+theme:
+  name: material
+  # logo: assets/icons8-code-64.png
+  palette:
+    primary: white
+  features:
+    - content.code.copy
+    - navigation.footer    
+    - navigation.tabs
+    - navigation.expand
+    - navigation.path
+    - navigation.indexes
+    - navigation.top
+    - search.suggest
+    - search.share
+    - search.highlight
+markdown_extensions:
+  - toc:
+      permalink: true
+  - pymdownx.highlight:
+      anchor_linenums: true
+      line_spans: __span
+      pygments_lang_class: true
+  - pymdownx.inlinehilite
+  - pymdownx.snippets
+  - pymdownx.superfences      
+  - admonition
+  - md_in_html
+  - pymdownx.superfences:
+      custom_fences:
+        - name: mermaid
+          class: mermaid
+          format: !!python/name:pymdownx.superfences.fence_code_format  
+extra_css:
+  - stylesheets/extra.css
+extra:
+  generator: false
+  social:
+    - icon: fontawesome/brands/linkedin
+      link: https://in.linkedin.com/company/infocusp
+    - icon: fontawesome/brands/github
+      link: https://github.com/InFoCusp
+    - icon: fontawesome/brands/instagram
+      link: https://instagram.com/infocuspinnovations
+    - icon: fontawesome/brands/x-twitter
+      link: https://twitter.com/_infocusp
+plugins:
+  - search
+  - same-dir

requirements.txt

@@ -0,0 +1,4 @@
+mkdocs>=1.2.2
+mkdocs-material>=7.1.11
+mkdocs-static-i18n>=0.18
+mkdocs-same-dir>=0.1.3

session_1/README.md

@@ -1,6 +1,6 @@
-## Session 1 - Emergence, Fundamentals and Landscape of LLMs
+# Session 1 - Emergence, Fundamentals and Landscape of LLMs
 
-<p align="center"><img src="../images/home_page/Session%201.png" alt="Sessio 1" style="width:70%;"/></p>
+<p align="center"><img src="../images/home_page/Session%201.png" alt="Session 1" style="width:70%;"/></p>
 
 
 Covers important building blocks of what we call an LLM today, where they came from, etc. and then we'll dive into the deep universe that has sprung to life around these LLMs.

session_1/part_1_emergence_of_llms/README.md

@@ -1,4 +1,4 @@
-## The Emergence of LLMs
+# The Emergence of LLMs
 
 
 ```mermaid