More Advanced AI Applications
This Generative AI Community Edition course from iNeuron offers a comprehensive and hands-on exploration of generative artificial intelligence, making it ideal for learners at an intermediate to advanced level. The course begins with foundational concepts, such as the difference between discriminative and generative models, LLM architecture, and their real-world applications. Participants gain practical experience with OpenAI APIs, vector databases like ChromaDB, Pinecone, and Weaviate, and popular open-source LLMs including Meta Llama 2, Google PaLM 2, and Falcon. The course also delves into fine-tuning LLMs and building end-to-end generative AI applications using cutting-edge frameworks like LangChain, LlamaIndex, and Chainlit. With an emphasis on hands-on projects, participants will create dynamic AI applications, gaining the skills to deploy and optimize generative AI solutions. Designed for those familiar with machine learning and Python, this course bridges theory and real-world application, fostering an engaging and collaborative learning environment.
