GenAI – Roadmap To Learn GenAI.
Table Of Contents:
- Introduction To GenAI.
- Tokenization & Embedding.
- Chunking & Types Of Chunking.
- Vector Indexing.
- Vector Reranking.
- Prompt Engineering.
- Large Language Models(LLMs)
- Fine Tuning & Adaption Technique.
- Retrieval Augmented Generation(RAG).
- Evaluation Metrics.
- Model Debugging & Troubleshooting.
- System Design & Architecture.
- Deployment, MLOPS & Scalability.
- Security, Guardrails & Governance.
- Monitoring & Observability.
- User Experience & Customization.
- Multimodal GenAI.
- Tools, Frameworks & Libraries.
- Use Cases & Industries Application.
- Scenario Based Q & A.