Online registrations are invited for the Large Language Models with Semantic Search by Deep Learning AI & Cohere. Check the details below!
About DeepLearning AI
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.
About Cohere
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.
Course Highlights
- Enhance keyword search using Cohere Rerank
- Use embeddings to leverage dense retrieval, a powerful NLP tool
- Evaluate your effectiveness for further optimization
What you’ll learn in this course?
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:
- Know how to implement basic keyword search, the underpinnings of many search systems before language models became accessible.
- Enhance keyword search with the rerank method, which ranks the best responses by relevance with the query.
- Implement dense retrieval through the use of embeddings, a powerful NLP tool, which uses the actual semantic meaning of the text to carry out the search, and vastly improves results.
- Gain hands-on practice by working with large amounts of data and overcoming challenges like varying search results and accuracy.
- Implement language model-powered search into your website or project.
Who should join?
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.
How to Register?
Interested candidates can directly register through this link.
Instructors
- Jay Alammar: Director and Engineering Fellow at Cohere
- Luis Serrano: Lead of Developer Relations at Cohere
Click here to view the official notification of the Large Language Models with Semantic Search by DeepLearning AI & Cohere
Image Source
