Technical Deep-Dive into Generative AI for Product Builders (4-hour) G

Unlock the core mechanics of Generative AI, from foundational architectures to advanced training and deployment strategies, empowering you to build cutting-edge AI products with confidence.

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Foundational Architectures: Transformers and LLMs

Unit 1: From RNNs to Transformers: A Paradigm Shift

Unit 2: Deconstructing the Transformer Encoder

Unit 3: Deconstructing the Transformer Decoder

Unit 4: Transformer Variants and LLMs

Generative Models for Media: Diffusion and GANs

Unit 1: Introduction to Generative Media Models

Unit 2: Deep Dive into Diffusion Models

Unit 3: Deep Dive into Generative Adversarial Networks (GANs)

Unit 4: Comparing Diffusion Models and GANs

Advanced Training and Fine-tuning Techniques

Unit 1: Pre-training Objectives and Strategies

Unit 2: Fine-tuning and Adaptation

Unit 3: Strategic Application of Training Techniques

Alignment and Preference Optimization

Unit 1: The Need for Alignment

Unit 2: Reinforcement Learning from Human Feedback (RLHF)

Unit 3: Beyond RLHF: Direct Preference Optimization

Unit 4: KTO and Practical Considerations

Performance Evaluation of Generative Models

Unit 1: The Why and How of Evaluation

Unit 2: Evaluating Text Generation

Unit 3: Evaluating Image Generation

Unit 4: Practical Considerations & Limitations

Advanced Architectures and Efficient Deployment

Unit 1: Scaling Generative Models with MoE

Unit 2: Multimodal Generative Models

Unit 3: Efficient Inference and Deployment