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Apply for community grant: Academic project (gpu)
Large Language Models (LLMs) are amazing at generating text and answering questions, but they often struggle with reasoning through complex problems or making decisions step by step. My research focuses on tackling this challenge by combining reasoning techniques, Chain-of-Thought (CoT) strategies, and Reinforcement Learning (RL) to help LLMs think more clearly and solve problems more effectively.
This project isn’t just about improving AI—it’s about creating tools that people can trust to handle nuanced, real-world tasks where reasoning matters.
What I’m Trying to Achieve:
Make LLMs Better Thinkers: I want to teach these models how to break down problems into logical steps, just like humans do when they think out loud.
Improve Transparency: By refining Chain-of-Thought techniques, I aim to make it easier for us to understand why a model arrives at a certain answer.
Use RL to Teach Smarter Behavior: Reinforcement Learning is a powerful way to guide LLMs to make better decisions by rewarding good outcomes and discouraging bad ones.
Test and Prove It Works: I plan to create benchmarks and run tests to measure how much these improvements help in practical scenarios.
Why I Need GPU Support:
Improving LLMs at this level requires heavy computational resources. Training and fine-tuning large models, experimenting with different methods, and running evaluations are computationally intense tasks that can’t be done effectively without high-performance GPUs. This grant would allow me to:
Train models faster, incorporating reasoning and RL techniques.
Run experiments to refine and test multiple ideas efficiently.
Process large datasets to thoroughly evaluate the results of my research.
How This Will Make a Difference:
This grant would enable me to make significant strides in advancing reasoning and decision-making in AI. My goal is to contribute research and tools that not only improve the state of AI but also make it more trustworthy and useful in everyday life. Whether it’s helping educators, researchers, or developers, these improvements could have far-reaching benefits.
By sharing my findings and benchmarks openly, I hope this project will inspire others in the AI community to build on this work and push the field forward.