Akhil Theerthala PRO

Akhil-Theerthala

https://akhil-theerthala.github.io

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liked a Space 2 days ago

OpenEvals/evaluation-guidebook

reacted to omarkamali's post with 👍 5 days ago

Exciting updates to the Wikipedia Monthly dataset for November! 🚀 ・ Fixed a bug to remove infobox leftovers and other wiki markers such as `__TOC__` ・ New python package https://pypi.org/project/wikisets: a dataset builder with efficient sampling so you can combine the languages you want seamlessly for any date (ideal for pretraining data but works for any purpose) ・ Moved the pipeline to a large server. Much higher costs but with better reliability and predictability (let me know if you'd like to sponsor this!). ・ Dataset sizes are unfortunately missing for this month due to shenanigans with the migration, but should be back in December's update. Check out the dataset: https://huggingface.co/datasets/omarkamali/wikipedia-monthly

updated a Space 8 days ago

Akhil-Theerthala/PaperStack

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Post

1313

For anyone who likes to get their papers summarized, I've tried to make a bentocard summarizer for research papers, that enables us to get overviews of the papers, with possible deepdives where interested. Of course, this has to be improved a lot, so do check the space and give your feedback!

Akhil-Theerthala/PaperStack

Some sample bentogrids are as follows:

Post

2234

I'm excited to announce that I've just released the newest versions of my Kuvera models and the expanded Personal Finance Reasoning dataset on Hugging Face!

What's new:
I've expanded the Personal Finance Reasoning Dataset, which now includes 18.9k samples of real-world financial questions paired with detailed, empathetic answers. The previous generation pipeline was also streamlined with better psychological context and response validations.

I've also released new Kuvera models trained on this improved dataset:
- Kuvera-4B & 8B: These are my upgraded non-reasoning models, fine-tuned to provide practical financial advice. I've specifically trained the 8B model to better understand the user's emotional context.
- Kuvera-12B: A first experimental reasoning model focused on the query resolution.

As the sole person working on this project, this release is a noticeable step forward from my previous work, offering more powerful and nuanced tools for financial AI.

I am actively looking to collaborate with others who are passionate about analyzing and improving the quality of personal finance advice generated by large language models. If this sounds like you, please reach out!

You can check these out on the following links:

Models:
- Akhil-Theerthala/Kuvera-8B-qwen3-v0.2.1
- Akhil-Theerthala/Kuvera-4B-unsloth-gemma3
- Akhil-Theerthala/kuvera-12B-v0.2.0-unsloth-gemma3

Dataset:
- Akhil-Theerthala/Kuvera-PersonalFinance-V2.1

P.S. The paper on the framework used to generate these models along with the detailed evaluation of the main 8B model's responses is going to be released soon!

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