Hi, I'm Pete Pittawat Taveekitworachai
Researcher and builder shaping practical reasoning workflows for teams adopting large language models.
From Null-Shot Prompting (EMNLP 2024) and Prior Prompt Engineering (EMNLP 2025) to the Typhoon T1 multilingual reasoning suite, I translate frontier research into tools that ship.
Current focus
Advancing reinforcement learning pipelines that strengthen reasoning fidelity.
Ship-ready builds
See the evaluation stacks and agent tooling delivered to teams.
Research notes
Read experiments, failure digs, and applied prompting patterns.
Talks & workshops
Watch practical walkthroughs from conferences and private sessions.
About Me
I’m Pete (Pittawat Taveekitworachai) — a researcher focused on large language models and prompt engineering. My work explores how to make LLMs reliable, practical, and easy to use in the real world.
I bridge unconventional ideas to fundamental and applied research. I share what I learn through my blog, publications, and talks.
Reinforcement learning for advanced reasoning—Prior Prompt Engineering (EMNLP 2025) and Typhoon T1 anchor trustworthy multilingual agents.
Null-Shot Prompting (EMNLP 2024), FinCoT, and structured playbooks make chain-of- thought dependable for high-stakes workflows.
BenchING (IEEE ToG 2025) and ChatGPT4PCG benchmark structured outputs for agents and games with reproducible scores.
LLM deployments across games, medical triage reasoning, and smart-car ADAS copilots where latency and safety matter.
Research Focus
Where current publications concentrate and the systems I’m shipping next.
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Reasoning models & RL
Prior Prompt Engineering (EMNLP 2025) and Typhoon T1 advance RLVR/RFT pipelines while improving Thai reasoning fidelity.
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Prompt engineering
Null-Shot Prompting (EMNLP 2024) and FinCoT blueprint structured chain-of- thought for domain experts and analysts.
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Evaluation & benchmarking
BenchING (IEEE ToG 2025) and ChatGPT4PCG track structured outputs, levels, and agents across releases.
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Applications
Game storytelling, medical triage reasoning models, and smart-car ADAS copilots translate research into products.
Professional Highlights
Translating research into community resources, talks, and tooling.
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Publications & writing
First-author publications at IEEE ToG 2025 and EMNLP 2025 main track on dependable LLM systems.
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Talks & workshops
Sharing EMNLP and CoG findings through invited talks, workshops, and community labs.
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Open-source tooling
Typhoon T1 releases and BenchING tooling help teams ship reliable, open LLM workflows faster.
What I publish and share with the community
Regular writing, peer-reviewed research, and talks that turn LLM research into approachable practice.
Fresh experiments and field notes
Short reads on evaluation, prompting techniques, and the practical side of running LLM systems in production.
GeneralFrom Assistant to Collaborator: How Natural Language Agents Shape the World
Natural language agents like Siri and Alexa are evolving through generative models and transformers, generating human-like responses and revolutionizing language processing. The future of these agents involves multi-modal capabilities for interacting with the physical world in healthcare and disaster relief. Responsible development and ethical use are important due to the agents' potential and risks, including the possibility of sentient AI models.
Continue reading 2023
General3x3: The Life-Changing Concepts That Have Driven My Personal and Professional Growth
Life is a journey full of twists and turns, ups and downs, and unexpected surprises. It is a journey that is shaped by various factors, including our personal experiences, values, and skills. Throughout my life, I have learned that there are certain skills and philosophies that have significantly influenced and driven my journey. These skills and philosophies have helped me navigate through the complexities of life, overcome obstacles, and pursue my goals with passion and purpose.
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PythonHow to Split Large CSV Files into Equal Number of Rows using Pandas: A Step-by-Step Guide
When working with large datasets in CSV format, it can be challenging to process them efficiently. One solution to this problem is to split the large CSV file into smaller files with an equal number of rows using the Pandas library. This tutorial will show you how to split a large CSV file into smaller ones based on the given code.
Continue reading 2023