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Aprile 2025 Student Submission

Module Completed

  • Module 1: Instruction Tuning
  • Module 2: Preference Alignment
  • Module 3: Parameter-efficient Fine-tuning
  • Module 4: Evaluation
  • Module 5: Vision-language Models
  • Module 6: Synthetic Datasets
  • Module 7: Inference
  • Module 8: Deployment

Changes Made

  1. What concepts did you learn?
  • I learned how to build AI agents using the smolagents library, focusing on custom tools and integrating them into agents.
  • I also learned how retrieval agents work by combining web search with memory to maintain context in conversations.
  1. What changes or additions did you make?
  • I created a calculator tool for mathematical queries and added more operations.
  • I built a retrieval agent that combines web search with memory to answer multi-turn questions.
  1. Any challenges you faced?
    -The main challenge was ensuring the agent maintained context across multiple questions.
    -I also faced difficulty in making custom tools reliable, ensuring they handled errors correctly.

Notebooks Added/Modified

List any notebooks you've added or modified:

  • Translate 7_inference from English to Vietnamese at /vi/7_inference.
  • Translate 7_inference from English to Vietnamese at /vi/7_inference.

Checklist

  • [x ] I have read the module materials
  • [ x] My code runs without errors
  • I have pushed models and datasets to the huggingface hub
  • My PR is based on the december-2024 branch

Questions or Discussion Points

Add any questions you have or points you'd like to discuss:

  1. How can I further optimize the memory system to improve context retention across more complex conversations?
  2. Are there any best practices for handling errors and exceptions in custom tools to ensure more reliable performance?

Additional Notes

Any other information that might be helpful for reviewers:

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@anhtrannguyenvan anhtrannguyenvan left a comment

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great translation

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@jellybrainiac jellybrainiac left a comment

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Wow ! Very detail.

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3 participants