1. Generative AI with LLMs
Platform: Coursera
Authors: DeepLearning.AI, with an introduction by Andrew Ng

- Key concepts explained: LLM, instruction fine-tuning vs fine-tuning, prompt engineering vs prompt tuning
- Detailed coverage: RLHF, PEFT, LoRA, toxicity reduction methods
- Applications: LangChain, LLM applications
- Practice: zero-/few-shot prompting, summarization, instruction tuning with PEFT, RLHF

The course is short and intensive. The instructors are clear, and the visuals are good. Suitable for those who want to systematize their knowledge of LLMs.

2. LangChain for LLM Application Development
Platform: DeepLearning.AI
As a logical continuation of the first course, more about building applications with LangChain, which is only mentioned in the first course.

3. Evaluating and Debugging Generative AI
Platform: DeepLearning.AI
A course by the same author (Andrew Ng), filling the gap in debugging and analyzing model behavior. Mainly focused on diagnostics, metrics, and pipeline errors.

👩‍💻 Data Flow