added LLM readme - Adithya S K

Author: adithya-s-k

LLM/README.md

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+# Large Language Models (LLMs)
+
+Welcome to the Large Language Models section of the AI Engineering Academy! This module is designed to provide you with a comprehensive understanding of LLMs and their applications in AI engineering.
+
+## Module Overview
+
+In this section, we'll dive deep into various aspects of Large Language Models:
+
+1. **LLM Architectures**
+
+   - Explore different LLM architectures:
+     - Llama2
+     - Mistral-7b
+     - Mixtral
+     - Gemma
+     - Llama3 (upcoming)
+
+2. **Fine-tuning Techniques**
+
+   - Learn and implement fine-tuning strategies for various LLMs
+   - Understand advanced techniques like LoRA (Low-Rank Adaptation)
+
+3. **Model Architecture Deep Dives**
+
+   - Analyze the architecture of popular models
+   - Understand parameter counting and model scaling
+
+4. **Specialized LLMs**
+
+   - Explore Code LLama for code-related tasks
+   - Introduction to Visual Language Models (VLMs) like Florence2 and PaliGemma
+
+5. **Practical Implementation**
+
+   - Hands-on experience with notebooks for each LLM
+   - Learn to generate responses and implement inference pipelines
+
+6. **Advanced Topics**
+   - Understand DPO (Direct Preference Optimization) fine-tuning
+   - Explore SFT (Supervised Fine-Tuning) techniques
+
+By the end of this module, you'll have a solid understanding of various LLM architectures, fine-tuning techniques, and practical implementation skills to work with these powerful models.
+
+Happy learning and exploring the world of Large Language Models!