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Add aiXplain agents tutorials with README and Python notebook #58

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@Asma6689 Asma6689 commented Jan 3, 2025

This pull request introduces the following updates:

README:

  • Provides an overview of the tutorial for building aiXplain agents powered by Groq.
  • Includes instructions on how to set up, run, and utilize the provided Python notebook.

Python Notebook:

  • Contains code examples for creating and interacting with aiXplain agents using Groq powered LLMs.
  • Demonstrates the usage of key functionalities such as agent creation, translation, and pipeline integration.

Purpose:
These additions aim to enhance the repository by offering a practical example and documentation for users interested in leveraging Groq powered LLMs with aiXplain's tools and SDK for building AI agents.

"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
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is this supposed to be base_uri?

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This seems to be metadata Colab adds to code cells, I don't think it will be visible to users or affect user experience.

@hozen-groq
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Thank you for contributing, Asma! Left a few suggestions/comments. Also, if the llm_id is a long number, how users would find other llm_ids, specifically the llm_id of models powered by Groq?

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Asma6689 commented Jan 6, 2025

Thank you for the suggestions!! I have provided a link to the aiXplain marketplace filtered for Groq in the notebook. Users will be able to see all the groq models hosted and the llm_id for each model to choose which they want to use.

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2 participants