Function calling and other API updates
OpenAI recently announced the updates including more steerable API models, function calling capabilities, longer context, and lower prices.
In this video, I will walk you through the announcement and also demonstrate different examples of function calling capabilities. Also I will show you the OpenAI function agent using LangChain and LangChain tools as OpenAI function.
Hope you will find it useful. Happy learning and chaining 😎
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👉🏼 Links:
OpenAI announcement: https://openai.com/blog/function-call...
GitHub code: https://github.com/sudarshan-koirala/...
OpenAI API key: https://platform.openai.com/account/a...
OpenAI models: https://platform.openai.com/docs/models
LangChain twitter thread: / 1668809085557547009
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⏰ Time Stamps:
00:00 Introduction
00:45 OpenAI announcement
04:48 Env Setup Google Colab
08:08 Example 1 ( Provided by OpenAI)
09:22 Example 2 (Sum of two numbers)
12:28 Example 3 (Web surfing)
16:15 Sample Examples from Openai-cookbook
16:51 LangChain Examples ( Tools & Agents)
20:02 Conclusion
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✌️Patreon: / datasciencebasics
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🔗 Other videos you might find helpful:
🔥 PrivateGPT: • PrivateGPT 🔥 | No Data Leaks | 100% F...
⛓️ Langflow: • ⛓️ langflow | UI For 🦜️🔗 LangChain
🦜️🔗 LangChain playlist: • LangChain
🐍🌐💻 Python Virtual Env: • Python Virtual Environment
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🤝 Connect with me:
📺 Youtube: https://www.youtube.com/@datascienceb...
👔 LinkedIn: / sudarshan-koirala
🐦 Twitter: / mesudarshan
💼 Consulting: https://calendly.com/datasciencebasic...
#langchain #llm #openai #chatgpt #chatgptplugins #functioncalling #datasciencebasics