Mobile App Development: Quick Start Guide
February 2, 2024
Article
Recommended experience
Intermediate level
Anyone who has intermediate Python knowledge and wants to learn advanced retrieval techniques for retrieving data from their vector database.
Recommended experience
Intermediate level
Anyone who has intermediate Python knowledge and wants to learn advanced retrieval techniques for retrieving data from their vector database.
Learn to recognize when queries are producing poor results.
Learn to use a large language model (LLM) to improve your queries.
Learn to fine-tune your embeddings with user feedback.
Only available on desktop
Information Retrieval (IR) and Retrieval Augmented Generation (RAG) are only effective if the information retrieved from a database as a result of a query is relevant to the query and its application.
Too often, queries return semantically similar results but don’t answer the question posed. They may also return irrelevant material which can distract the LLM from the correct results. This course teaches advanced retrieval techniques to improve the relevancy of retrieved results. The techniques covered include: 1. Query Expansion: Expanding user queries improves information retrieval by including related concepts and keywords. Utilizing an LLM makes this traditional technique even more effective. Another form of expansion has the LLM suggest a possible answer to the query which is then included in the query. 2. Cross-encoder reranking: Reranking retrieval results to select the results most relevant to your query improves your results. 3. Training and utilizing Embedding Adapters: Adding an adapter layer to reshape embeddings can improve retrieval by emphasizing elements relevant to your application.
DeepLearning.AI is an education technology company that develops a global community of AI talent. DeepLearning.AI's expert-led educational experiences provide AI practitioners and non-technical professionals with the necessary tools to go all the way from foundational basics to advanced application, empowering them to build an AI-powered future.
Hands-on, project-based learning
Practice new skills by completing job-related tasks with step-by-step instructions.
No downloads or installation required
Access the tools and resources you need in a cloud environment.
Available only on desktop
This project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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In Projects, you'll complete an activity or scenario by following a set of instructions in an interactive hands-on environment. Projects are completed in a real cloud environment and within real instances of various products as opposed to a simulation or demo environment.
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Even though Projects are technically available on mobile devices, we highly recommend that you complete Projects on a laptop or desktop only.
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