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Pratik Bhavsar

pratikbhavsar

https://pakodas.substack.com

AI & ML interests

LLM agents, evaluation & reasoning

Recent Activity

upvoted a paper 3 days ago

M^3FinMeeting: A Multilingual, Multi-Sector, and Multi-Task Financial Meeting Understanding Evaluation Dataset

upvoted a paper 3 days ago

DianJin-R1: Evaluating and Enhancing Financial Reasoning in Large Language Models

liked a model 5 days ago

mistralai/Magistral-Small-2506

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pratikbhavsar's activity

upvoted 2 papers 3 days ago

M^3FinMeeting: A Multilingual, Multi-Sector, and Multi-Task Financial Meeting Understanding Evaluation Dataset

Paper • 2506.02510 • Published 13 days ago • 3

DianJin-R1: Evaluating and Enhancing Financial Reasoning in Large Language Models

Paper • 2504.15716 • Published Apr 22 • 10

liked a model 5 days ago

mistralai/Magistral-Small-2506

Text Generation • Updated about 6 hours ago • 13.5k • • 423

reacted to abidlabs's post with ❤️ about 1 month ago

Post

4965

HOW TO ADD MCP SUPPORT TO ANY 🤗 SPACE

Gradio now supports MCP! If you want to convert an existing Space, like this one hexgrad/Kokoro-TTS, so that you can use it with Claude Desktop / Cursor / Cline / TinyAgents / or any LLM that supports MCP, here's all you need to do:

1. Duplicate the Space (in the Settings Tab)
2. Upgrade the Gradio sdk_version to 5.28 (in the README.md)
3. Set mcp_server=True in launch()
4. (Optionally) add docstrings to the function so that the LLM knows how to use it, like this:

def generate(text, speed=1):
    """
    Convert text to speech audio.

    Parameters:
        text (str): The input text to be converted to speech.
        speed (float, optional): Playback speed of the generated speech.