Groq LLM with Python | Ultra-Fast AI Inference Using Jupyter Notebook
A Python walkthrough in Google Colab using the Groq client and Llama 3.3 70B Versatile. Covers API-key setup, chat-completion messages, streamed responses, stop sequences and a helper that retains conversation history. Also discusses the asynchronous client and links the SDK examples to Groq's API documentation.
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Follow how a notebook sends chat messages to Groq and builds a streaming conversation helper with explicit message history.
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