Generative AI

Large language models, diffusion models, and AI systems that create new content.

Large Language Models

GPT, BERT, LLaMA — architecture, training, and capabilities of LLMs.

Diffusion Models

Denoising diffusion, stable diffusion, and generative image modeling.

Prompt Engineering

Techniques for effective prompting, in-context learning, and chain-of-thought.

Fine-Tuning & Alignment

RLHF, DPO, LoRA, and aligning models with human preferences.

Retrieval-Augmented Generation

RAG pipelines, vector databases, and grounding LLMs with external knowledge.

Autonomous agents, tool use, planning, and agentic AI systems.

Multimodal Models

Vision-language models, cross-modal learning, and unified architectures.

Code Generation

Code LLMs, Copilot, program synthesis, and AI-assisted development.

Video Generation

Text-to-video, video synthesis, temporal consistency, and motion generation.

Generating training data, data augmentation, and simulation-based datasets.

Benchmarks, human evaluation, automated metrics, and measuring model quality.