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Andrew Ng & Cohere Unveil Free Course on LLMs with Semantic Search

Andrew Ng & Cohere Unveil Free Course on LLMs with Semantic Search

Join Andrew Ng's free course on LLMs and enhance keyword search today! Unlock advanced search techniques and boost your skills.

Andrew Ng & Cohere Unveil Free Course on LLMs with Semantic Search
shritama.saha·Published Updated

Key takeaways

  • Andrew Ng and Cohere have launched a free, beginner-friendly course on enhancing keyword search using large language models.
  • The course teaches essential techniques for integrating LLMs into keyword search systems for improved efficiency.
  • Participants will explore dense retrieval, a powerful NLP tool that enhances the relevance of search results.
  • The course includes insights into intelligent reranking, which improves search efficiency and response times.
  • Learners will apply innovative techniques to transform keyword search, prioritising query relevance for better search experiences.
5 min

AI education guru Andrew Ng has come up with a new course “Large Language Models with Semantic Search” in collaboration with Canadian AI startup Cohere. The free, short, beginner-friendly course will teach you to enhance keyword search using Cohere Rerank. Anyone with basic familiarity with Python can join the course. 

https://twitter.com/AndrewYNg/status/1691833398959186085?t=LElaOVViBnhXQWTgCoX2MQ&s=15

Course Highlights

Unlocking Advanced Search Techniques: This course equips learners with the essential techniques to seamlessly incorporate LLMs into keyword search systems.

Dense Retrieval Unveiled: Explore the concept of dense retrieval, a potent NLP tool. By harnessing embeddings, the course elevates the relevance of search results, surpassing traditional keyword-based approaches.

Intelligent Reranking: Gain insights into the reranking process, which injects the intelligence of LLMs into search systems. This strategic integration enhances search efficiency and expedites response times.

Upon completing the course, participants will learn how to use fundamental principles of keyword search, establishing the foundation for search systems that precede the availability of advanced language models. They will apply an innovative reranking technique to transform keyword search, prioritising responses based on query relevance and thereby enhancing the overall search encounter. Participants will also harness the power of embeddings to enable more profound search outcomes through semantic understanding. Practical expertise will be gained through hands-on experience, addressing real-world obstacles with substantial data and refining accuracy in handling diverse search results. Additionally, attendees will master the seamless integration of language model-driven search functionalities into websites or projects, thereby enhancing user engagement and interactions. 

Jay Alammar, Director and Engineering Fellow at Cohere and Luis Serrano, Lead of Developer Relations at Cohere are going to teach the course. 

Ng is a computer scientist-entrepreneur known for co-founding Coursera and founding DeepLearning.AI. He aims to democratise AI education and currently leads AI4ALL, a nonprofit promoting diversity in the AI workforce. To make this possible, he has partnered with various tech companies like OpenAI, AWS, and LangChain to come up with several AI courses.  Sign up for the course here.

Read more: Top 10 Free Specialised Courses by Andrew Ng

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