In this Langchain tutorial, we are covering Output Parsers. These can be the final result to your large language models. I cover both JSON as well as CSV and showcase where you can find other examples.

You will need the openai API for this video.

Interested in discussing a Data or AI project? Feel free to reach out via email or simply complete the contact form on my website.

📧 Email: ryannolandata@gmail.com
🌐 Website & Blog: [ Ссылка ]

🍿 WATCH NEXT
OpenAI/Langchain Playlist: [ Ссылка ]
Streamlit Langchain: [ Ссылка ]
Langchain Selectors: [ Ссылка ]
Langchain Tools: [ Ссылка ]


MY OTHER SOCIALS:
👨‍💻 LinkedIn: [ Ссылка ]
🐦 Twitter: [ Ссылка ]_
⚙️ GitHub: [ Ссылка ]
🖥️ Discord: [ Ссылка ]

📚 *Data and AI Courses: [ Ссылка ]
📚 *Practice SQL & Python Interview Questions: [ Ссылка ]

WHO AM I?
As a full-time data analyst/scientist at a fintech company specializing in combating fraud within underwriting and risk, I've transitioned from my background in Electrical Engineering to pursue my true passion: data. In this dynamic field, I've discovered a profound interest in leveraging data analytics to address complex challenges in the financial sector.

This YouTube channel serves as both a platform for sharing knowledge and a personal journey of continuous learning. With a commitment to growth, I aim to expand my skill set by publishing 2 to 3 new videos each week, delving into various aspects of data analytics/science and Artificial Intelligence. Join me on this exciting journey as we explore the endless possibilities of data together.

*This is an affiliate program. I may receive a small portion of the final sale at no extra cost to you.

свернуть