While many of us are familiar with using Gen AI and LLMs, this program took it a step further by delving into code-level fine-tuning of LLM models. It covered advanced techniques like PEFT and LoRA to optimize model performance for specific datasets. The hands-on assignments were particularly engaging — building chatbots with RAG techniques using embeddings and a vector database, experimenting with AI-powered photo and video editing, orchestrating GenAI functions with LangChain, and customizing LLM responses through engineering techniques. Overall, this course was a worthwhile investment of both time and money!
