AI & LLMs Roadmap - Advanced

Follow this step-by-step roadmap to master ai_llms at Advanced level

1

Large Language Models (LLMs)

4 weeks

▹Pretraining vs Fine-tuning
▹Prompt Engineering
▹Transfer Learning in NLP
▹LoRA (Low-Rank Adaptation)
▹Instruction Tuning & RLHF (Reinforcement Learning from Human Feedback)

2

Advanced Model Architectures

4 weeks

▹GPT Family (GPT-2, GPT-3, GPT-4+)
▹BERT Variants (RoBERTa, DistilBERT, ALBERT)
▹T5 & Seq2Seq Transformers
▹Mixtral & Mixture of Experts (MoE)

3

Model Deployment & Scaling

3 weeks

▹Exporting Models (ONNX, TorchScript)
▹Serving with FastAPI & Flask
▹Using Hugging Face Transformers
▹Scaling with Kubernetes & Docker
▹GPU/TPU Optimization

4

Ethics, Safety & Responsible AI

2 weeks

▹Bias & Fairness in AI
▹Explainability (XAI)
▹Adversarial Attacks & Defenses
▹Privacy Preserving AI (Federated Learning, Differential Privacy)
▹AI Regulations & Governance

5

Cutting Edge Research

4 weeks

▹Multimodal Models (CLIP, DALL·E, Gemini)
▹Self-Supervised Learning
▹Reinforcement Learning with Transformers
▹Autonomous Agents (AutoGPT, LangChain)

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