Hi, I'm Yeabsira, though most people call me Yeab. I'm a third-year Computer Science student at the Beijing Institute of Technology. My research interests include large language models, reinforcement learning, and continual learning. I'm particularly interested in building AI systems that continually learn from real-world experience.
I've contributed to research projects in computational pathology, Martian agricultural robotics, human–computer interaction, and LLM personalization. I also have 4 years of professional software development experience, working with organizations including the U.S. Embassy in Ethiopia, Flawless Events, R&D Group, and Chiropedic.
Here, I share papers I read, projects I build, and things I learn along the way. Whenever possible, I make my work open source.
I'm always open to collaboration. If you have something in mind, get in touch.
Useful Links
- CV
- My education, research, publications, and professional experience.
- Professional background and recommendations.
- GitHub
- Research code, software, and ongoing projects.
Recent Posts
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Flash Attention Notes #papers#llm#gpu A first-principles walkthrough of tiled attention, online softmax, and GPU memory movement.
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Training Language Models to Follow Instructions with Human Feedback Notes #papers#llm#alignment A review of the InstructGPT paper covering supervised fine-tuning, reward modeling, and PPO with human feedback.
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Mistral 7B & Mixture of experts(8x7B) Notes #papers#llm Sliding window attention, rolling buffer cache, model sharding, and mixture of experts from dense to sparse.
