Description
Course “Development of LLM applications using LangChain”. The LangChain Platform is an open-source platform that allows artificial intelligence developers to combine large language models (LLMs) such as GPT-4 with external compute resources and data. This makes it easier to build and deploy AI applications that are both scalable and efficient. LangChain is a great entry point into AI for people of all backgrounds and enables the deployment of AI as a service. Pinecone is an advanced database designed specifically for machine learning and artificial intelligence applications. It allows developers and data scientists to efficiently store, manage, and search large volumes of high-dimensional vector data, often generated by artificial intelligence models such as deep learning algorithms. By learning Pinecone, you’ll be able to build advanced search, recommendation, and personalization engines that can handle complex queries and deliver relevant results in real time.
What will you learn in the course “Developing LLM Applications with LangChain”
- How to integrate external data sources, including files and documents, into LLMs such as GPT to enhance the ability to answer questions beyond their core educational data.
- The principles of building applications based on LLM using the LangChain framework will allow you to use the full potential of artificial intelligence in individual projects.
- Techniques for using Pinecone and OpenAI with Python to build complex Q&A applications will expand your technical skills and understanding of modern artificial intelligence tools.
- This step-by-step guide to deploying scalable and efficient AI applications will prepare you to create a portfolio-worthy project in just 3 hours.
Characteristics of the course “Developing LLM Applications with LangChain”
- Publisher: ZerotoMastery
- teacher: Andrei Dumitrescu
- English language
- Level of education: all levels
- Number of courses: 23
- Training duration: 2 hours 38 minutes.
Course topics for 3/2024
Prerequisites for LLM Application Development Using the LangChain Course
- Basic knowledge of Python required. If you don’t have it, be sure to use our
Images from the course “Developing LLM Applications with LangChain”
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