Artificial Intelligence Study Group
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Contacts: jdberleant@ualr.edu and mgmilanova@ualr.edu
Agenda, Minutes & Status (197th meeting, Mar. 6, 2026)
- Announcements
- Today: How to find a job in AI. Welcome to MM from UALR Career Services.
- Presentation from Career Services (15 min.)
- Discussion (45 min.)
- A new forum for connecting about AI: https://www.intherock.ai.
- "Go Fourth Fridays" series: 4th Friday of each month at Noon - 1:30. Free pizza and AI real-world
AI insights. Reynolds First Floor Atrium. Noon - 12:30: Lunch &
networking (FREE PIZZA! 🍕)
12:30 - 1:30: Presentations & open mic for YOUR ideas. Contact: Marla Johnson mkjohnson@ualr.edu - Any other announcements?
- Other plans for future meetings
- Read from https://link.springer.com/chapter/10.1007/978-3-031-98420-4_7. EWG send me the pdf by email.
- Video 1: https://youtu.be/UclrVWafRAI?si=7y_OAvKlr8kM9lbc
- Video 2: https://youtu.be/BFU1OCkhBwo?si=KnHNuedfNaTkZzwp
- Video 3: https://youtu.be/x4ZY25OU4Ys?si=K1xp4uA14vBdCgOI (VK)
- Read a couple paragraphs and decide if we should read it in detail: LLMs Are Randomized Algorithms (https://share.google/sLYorUX7Mz4KQBxxH)
- Read from Y. Qian, Prompt Engineering in Education: A Systematic Review of Approaches and Educational Applications, Journal of Educational Computing Research, 2025, Vol. 63(7-8) 1782–1818. ...\AIgoodBadUgly Abstract: The effectiveness of generative AI tools in education depends largely on prompt engineering—the practice of designing inputs and interactions that guide AI systems to produce relevant, high-quality outputs. This systematic literature review examines empirical studies published since the release of ChatGPT in late 2022, identifying two broad approaches of prompting strategies: technique-based, which targets specific learning goals, and process-based, which supports cognitive engagement and collaborative thinking with AI. The review identifies key educational applications of prompt engineering, notably in two overarching areas: critical skills development and the automation of educational functions. It also highlights emerging trends, such as the integration of multimodal AI and the growing influence of advanced AI reasoning capabilities. By mapping this evolving landscape, the findings provide a foundational understanding of prompt engineering as both a technical skill and a pedagogical strategy in AI-supported learning environments.
- DR website/book(s): Site: https://www.thecenterforethicalai.com. We read the first page of chapter 1 in his ebook Ethical AI Integration.
- New chatbot ‘outperforms PhDs on literature reviews’, finds Nature study https://share.google/de1pa28PKWKBOnq4R
- Check a couple minutes of https://www.youtube.com/watch?v=RNF0FvRjGZk to see if we should view it in detail.
- What if we read from papers authored by people in this group? Then an author would be present to help everyone understand it.
- AB has a paper under revision.
- DR has a paper just published.
- Similarly: Invite paper authors at UALR or anywhere to host a reading session on the abstract and various paragraphs of a paper they published or plan to submit.
- Readings/viewings for future discussion. Here is the latest on future readings and viewings. Let me know of anything you'd like to have us evaluate for a fuller reading, viewing or discussion.
- Not evaluated yet
- https://arxiv.org/abs/2511.21622
- Towards Monosemanticity: Decomposing Language Models With Dictionary Learning (https://transformer-circuits.pub/2023/monosemantic-features/index.html); Bricken, T., et al., 2023. Transformer Circuits Thread.
- Neural Networks, Deep Learning: The basics of neural networks, and the math behind how they learn, https://www.3blue1brown.com/topics/neural-networks. (We would need to pick a specific one later.)
- We checked the first one briefly. 8/22/25: eval was 3.625 (from 4 people) for a full viewing.
- Let's evaluate a few more of them.
- LangChain free tutorial, https://www.youtube.com/@LangChain/videos. (The evaluation question is, do we investigate this any further?)
- Chapter 6 recommends material by Andrej Karpathy, https://www.youtube.com/@AndrejKarpathy/videos for learning more. What is the evaluation question? "Someone should check into these and suggest something more specific"?
- Chapter 6 recommends material by Chris Olah, https://www.youtube.com/results?search_query=chris+olah
- Chapter 6 recommended https://www.youtube.com/c/VCubingX for relevant material, in particular https://www.youtube.com/watch?v=1il-s4mgNdI
- Chapter 6 recommended Art of the Problem, in particular https://www.youtube.com/watch?v=OFS90-FX6pg
- LLMs and the singularity: https://philpapers.org/go.pl?id=ISHLLM&u=https%3A%2F%2Fphilpapers.org%2Farchive%2FISHLLM.pdf (summarized at: https://poe.com/s/WuYyhuciNwlFuSR0SVEt). (Old eval from 6/7/24 was 4 3/7.)
- Evaluated
- 7/25/25: eval was 4.5 (over 4 people). https://transformer-circuits.pub/2025/attribution-graphs/biology.html.
- Evaluation was 4.4 (6 people) on 8/8/25: https://transformer-circuits.pub/2025/attribution-graphs/biology.html#dives-refusals
- 8/22/25: eval. was 4.0 (4 people): Https://www.nobelprize.org/uploads/2024/10/popular-physicsprize2024-2.pdf.
- https://arxiv.org/pdf/2001.08361. 5/30/25: eval was 4.0. 7/25/25: vote was 2.5.
- Evaluation was 3.87 on 8/8/25 (6 people voted): https://venturebeat.com/ai/anthropic-flips-the-script-on-ai-in-education-claude-learning-mode-makes-students-do-the-thinking
- (Eval 8/29/25 was 3.75 over 5 people.) Https://docs.google.com/document/d/1NeNmKlAmJdf50ST7plw4mvgeeS7UJuYLyEQMz8slCA0/edit?tab=t.0#heading=h.hnzmulgvk3qx.
- We can evaluate https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10718663 for reading & discussion. 7/25/25: vote was 3.25 over 4 people
- Any projects that MS students can sign up for? If anyone has an idea for an MS project where the student reports to us for a few minutes each week for discussion and feedback - a student might potentially be recruited! Let me know.
- Please suggest a project!
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