Cutting-Edge LLMs and Multimodal AI

Aim

Program Objectives

Program Structure

Week 1: Next-Gen LLMs – Capabilities, Architecture, and Trends
Module 1: Deep Dive into Modern LLMs

• Chapter 1.1: Evolution from GPT-3 to GPT-4, Claude, Gemini, and beyond

• Chapter 1.2: Transformer Enhancements (Mixture of Experts, Long-Context, LoRA)

• Chapter 1.3: Performance Benchmarks and Trade-offs

• Chapter 1.4: Open vs. Closed Models (Open-source innovations: LLaMA, Mistral, Mixtral)

Module 2: Advanced Prompting and Fine-Tuning

• Chapter 2.1: Structured Prompting Techniques (Zero/Few-shot, CoT, Tool-Use)

• Chapter 2.2: Retrieval-Augmented Generation (RAG) Overview

• Chapter 2.3: Fine-Tuning vs. Instruction Tuning vs. RLHF

• Chapter 2.4: Evaluation and Safety Alignment Metrics

Week 2: Foundations of Multimodal AI Systems
Module 3: Language + Vision Models

• Chapter 3.1: Multimodal Transformers (BLIP-2, Flamingo, GPT-4V, Gemini)

• Chapter 3.2: Vision Encoding and Alignment with Text Embeddings

• Chapter 3.3: Image Captioning, Visual Q&A, Scene Understanding

• Chapter 3.4: Visual Prompting, Layout Understanding, Image-to-Text Inference

Module 4: Language + Other Modalities

• Chapter 4.1: Audio-Language Systems (Whisper, AudioCraft, VALL-E)

• Chapter 4.2: Video-Language Interaction (Sora, Pika Labs, RunwayML)

• Chapter 4.3: Code + Text and Structural Models (Code LLMs, ReAct)

• Chapter 4.4: Multimodal Embeddings and Cross-Modal Retrieval

Week 3: Applications, Ethics, and Future Outlook
Module 5: Industrial Applications and Innovation

• Chapter 5.1: Multimodal AI in Search, Design, Robotics, and Healthcare

• Chapter 5.2: Tool-Use and API-Augmented Agents (Auto-GPT, OpenAgents, ReAct)

• Chapter 5.3: Agent Simulations, Planning, and Toolchains

• Chapter 5.4: Case Studies: Enterprise LLM Use and Multimodal Integrations

Module 6: Ethics, Policy, and the Frontier of AI

• Chapter 6.1: AI Hallucinations, Safety, and Guardrails

• Chapter 6.2: AI Copyright, Content Authenticity, and Watermarking

• Chapter 6.3: Regulation Trends and Global AI Policies

• Chapter 6.4: What’s Next: Multimodal General Intelligence and Open Challenges

Who Should Enrol?

Program Outcomes

Fee Structure

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What You’ll Gain