Online registrations are invited for the Large Language Models with Semantic Search by Deep Learning AI & Cohere. Check the details below!
DeepLearning AI is an education technology company that is empowering the global workforce to build an AI-powered future through world-class education, hands-on training, and a collaborative community. DeepLearning AI has created high-quality AI programs on Coursera that have gained an extensive global following. By providing a platform for education and fostering a tight-knit community, DeepLearning AI has become the pathway for anyone looking to build an AI career.
Cohere empowers every developer and enterprise to build amazing products and capture true business value with language AI.
Cohere’s cutting-edge large language models are built on Transformer architecture and trained on supercomputers, providing NLP solutions that don’t need expensive ML development. With a world-class team of experts, we’re dedicated to helping companies revolutionize their operations and maximize potential in real-world business applications.
Keyword search has been a common method for search for many years. But for content-rich websites like news media sites or online shopping platforms, the keyword search capability can be limiting. Incorporating large language models (LLMs) into your search can significantly enhance the user experience by allowing them to ask questions and find information in a much easier way.
This course teaches the techniques needed to leverage LLMs into search.
Throughout the lessons, you’ll explore key concepts like dense retrieval, which elevates the relevance of retrieved information, leading to improved search results beyond traditional keyword search, and reranking, which injects the intelligence of LLMs into your search system, making it faster and more effective.
After completing the course, you will:
Anyone who has basic familiarity with Python and wants to get a deeper understanding of key technical foundations of LLMs, and learn to use semantic search.
Interested candidates can directly register through this link.
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