Hugging Face Changelog
Hugging Face Papers for AI Agents
• 82
Connor T. Jerzak PRO
cjerzak
AI & ML interests
"Nullius in verba"
Recent Activity
upvoted a changelog 1 day ago
Hugging Face Papers for AI Agents updated a Space 6 days ago
cjerzak/asa-api updated a dataset 11 days ago
cjerzak/JerzakWebsiteAudioFilesOrganizations
upvoted a changelog 1 day ago
updated a
Space 6 days ago
updated a
dataset 11 days ago
published an article 12 days ago
Article
GNU Parallel: Running Many Jobs Across Multiple GPUs, CPU Cores, or Compute Nodes to Accelerate AI Workflows
upvoted a collection 13 days ago
published a
Space 15 days ago
liked a
Space 17 days ago
updated a
Space 23 days ago
liked a
model 23 days ago
updated a
Space 23 days ago
liked a
dataset 24 days ago
published a
dataset about 2 months ago
liked a
Space about 2 months ago
posted an update 2 months ago
Post
705
Ethos: In our team at UT Austin, we train students to become full-stack researchers—and increasingly, designers of the systems that do research. Our students learn to carry projects end-to-end: from idea generation and theory to data creation, analysis, and iterative refinement across diverse subfields. Using modern AI (including agentic workflows) and scalable computation, students build reproducible pipelines that can ingest and update planetary-scale data—like satellite imagery and other high-dimensional sources. But the goal isn’t tool use for its own sake: students learn to set the objectives, constraints, and evaluation standards that guide these systems through large spaces of hypotheses, while grounding results in causal inference and careful measurement. The outcome is scholarship that can rigorously test policy counterfactuals and translate evidence into durable, responsible improvements in societal well-being.
We welcome students at every stage to engage with projects—from motivated high-schoolers to undergraduates, graduate students, and those from highly non-traditional backgrounds.
Join us! https://connorjerzak.com/students/
We welcome students at every stage to engage with projects—from motivated high-schoolers to undergraduates, graduate students, and those from highly non-traditional backgrounds.
Join us! https://connorjerzak.com/students/
- 2 replies
authored 2
papers 2 months ago
updated a
dataset 3 months ago
liked a
model 3 months ago
liked a
dataset 3 months ago
upvoted an article 3 months ago
Article
I Built a RAG System That Listens to Live BBC News and Answers Questions About "What Happened 10 Minutes Ago"
•
14