함께 코드 따라하기
코드 따라하기 ↗Using Large Language Models with the Cohere API
In this session, you'll learn to use the Cohere API with Python to generate content based on a given prompt, extract information from documents, and build a semantic search engine.
Rishit Dholakia
무료 계정 만들기
실습 문제하고 트랙하세요.
Google로 계속하기계속 진행하시면 다음 사항에 동의하는 것으로 간주됩니다: 이용약관 및 개인정보 처리방침 그리고 귀하의 데이터가 미국에 저장된다는 점에 동의하는 것으로 간주됩니다.관련

치트 시트
The OpenAI API in Python
ChatGPT and large language models have taken the world by storm. In this cheat sheet, learn the basics on how to leverage one of the most powerful AI APIs out there, then OpenAI API.
튜토리얼
Cohere API Tutorial: Getting Started With Cohere Models
Cohere offers powerful large language models for various language tasks through their user-friendly Playground or API.
튜토리얼
Cohere Command R+: A Complete Step-by-Step Tutorial
Explore Cohere Command R+ online and locally, learn about the unique features of the Cohere Python API, and build a multi-step AI agent using LangChain and Cohere.


Generative AI, and generating text with large language models in particular, is the biggest AI innovation in recent times. Leading this innovation wave are a select few organizations building the most cutting-edge large language models, Cohere being one of them.
Cohere provides an LLM for solving business problems. In this session, you'll learn to use the Cohere API with Python to generate content based on a given prompt, extract information from documents, and build a semantic search engine.
Key Takeaways:
Additional Resources