Welcome to our new Researchers! 

Our goals for this year's cohort include:

• Learn foundations of AI/ML and agentic techniques

• Appreciate the advances in LLMs and become familiar with toolchains for using them as consumers

• Understand what is algorithmic bias, and in particular bias in AI/ML/LLMs

• Study a few major algorithmic faux pas made by well intentioned engineers.  We will study (possibly) unintentional consequences of algorithms leading to unfair biases.

• Hypothesize how to mitigate as much as possible biases inherent in computer algorithms and data sets, as as to minimize harm to society.

We intend for you to engage in serious scientific investigation in groups, and to learn how to leverage each group member in your research.  No major research is done alone in the real world.  If you are interested in more specificity, here are our minimal research expectations for this group.

Research Assistant: this term, we have the pleasure of having Ananya G. and Theodore M. be our research assistants.   They will be sharing their current research with you as well as trying to help each of your group research effort. 

2025 Fall Schedule

Our first meeting will be Sep 27 (Saturday) to welcome the fall cohorts of researchers!

2025/09/27

• OpenAI Agents Framwork & Guardrails

• repo: github.com/philmui/research2025

Topics that we will try to cover through our weekend meetings:

• Agent Frameworks: 

  • OpenAI agents

  • CrewAI agents

  • Amazon Strands

  • LlamaIndex Agents

  • Langchain Agents

  • Google ADK agents

• Agent Safety & Guardrails

• Multi-Agents Orchestration

• Agent Optimization

• Knowledge Graphs

• Using VLM to outperform OCR

• Evaluation: how to use common datasets for validating agents

Current Research Projects:

Reference Materials

• "Outline Goals" for a Conference Abstract Submission (link)