糖心vlog官网观看

Get ready to put your generative AI engineering skills into practice! In this hands-on guided project, you鈥檒l apply the knowledge and techniques gained throughout the previous courses in the program to build your own real-world generative AI application. You鈥檒l begin by filling in key knowledge gaps, such as using LangChain鈥檚 document loaders to ingest documents from various sources. You鈥檒l then explore and apply text-splitting strategies to improve model responsiveness and use IBM watsonx to embed documents. These embeddings will be stored in a vector database, which you鈥檒l connect to LangChain to develop an effective document retriever. As your project progresses, you鈥檒l implement retrieval-augmented generation (RAG) to enhance retrieval accuracy, construct a question-answering bot, and build a simple Gradio interface for interactive model responses. By the end of the course, you鈥檒l have a complete, portfolio-ready AI application that showcases your skills and serves as compelling evidence of your ability to engineer real-world generative AI solutions. If you're ready to elevate your career with hands-on experience, enroll today and take the next step toward becoming a confident AI engineer.