Carlos Lizárraga Celaya
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    <img src="https://github.com/clizarraga-UAD7/DataScienceLab/raw/main/images/UADLSquareLogo.png?raw=true" width=150> ::: info # UArizona Data Lab Workshops - Spring 2025 ::: :construction: :construction: :construction: :construction: :construction: *** ## Content ## General Information **Room Reservations:** Sci & Eng Library Room 212. Tue 1-3pm, Thu 12-3pm (Confirmed) **Unique Zoom Link for all DataLab Workshops:** [https://arizona.zoom.us/j/89667081542](https://arizona.zoom.us/j/89667081542) **Qualtrics registration for each Workshop:** ... | DataLab Workshop| Registration | | :-- | :-- | | Research Productivity (3 - online) | [Q Edit link](https://uarizona.co1.qualtrics.com/survey-builder/SV_cw3FdoEFy1SSp26/edit) - [Q Reg Link](https://uarizona.co1.qualtrics.com/jfe/form/SV_cw3FdoEFy1SSp26) | AI Makerspace Meet Up| [Q Editlink](https://uarizona.co1.qualtrics.com/jfe/form/SV_5mRIgo8t54wO3Ii/edit) - [Q Reg link](https://uarizona.co1.qualtrics.com/jfe/form/SV_5mRIgo8t54wO3Ii) | Bioinformatics | [Q Edit link](https://uarizona.co1.qualtrics.com/survey-builder/SV_eUHXcEqBSFo44d0/edit) - [Q Reg Link](https://uarizona.co1.qualtrics.com/jfe/form/SV_eUHXcEqBSFo44d0)| Classical Machine Learning | [Q Edit link](https://uarizona.co1.qualtrics.com/survey-builder/SV_0CyWx6D43C7ZsmG/edit) - [Q Reg Link](https://uarizona.co1.qualtrics.com/jfe/form/SV_0CyWx6D43C7ZsmG) | Data Science Tapas | [Q Edit link](https://uarizona.co1.qualtrics.com/survey-builder/SV_brM5XGZHc4AhHgO/edit) - [Q Reg Link](https://uarizona.co1.qualtrics.com/jfe/form/SV_brM5XGZHc4AhHgO) | Functional Open Science Skills for AI/ML Applications |[Q Edit link](https://uarizona.co1.qualtrics.com/survey-builder/SV_9M475S7x4HkUWNg/edit) - [Q Reg Link](https://uarizona.co1.qualtrics.com/jfe/form/SV_9M475S7x4HkUWNg) | Mastering GenAI Applications | [Q Edit Link](https://uarizona.co1.qualtrics.com/survey-builder/SV_0wWiJ946ta9ExzE/edit) - [Q Reg Link](https://uarizona.co1.qualtrics.com/jfe/form/SV_0wWiJ946ta9ExzE) | NLP for All (online) | [Q Edit link](https://uarizona.co1.qualtrics.com/survey-builder/SV_3pEBKSiN4ejcY86/edit) - [Q Reg Link](https://uarizona.co1.qualtrics.com/jfe/form/SV_3pEBKSiN4ejcY86) | CyVerse Office Hours | [Q Edit link](https://uarizona.co1.qualtrics.com/survey-builder/SV_d0F8WzR8CjuF6Qe/edit) - [Q Reg Link](https://uarizona.co1.qualtrics.com/jfe/form/SV_d0F8WzR8CjuF6Qe) | CyVerse Webinars | [Q Reg Link 1](https://uarizona.co1.qualtrics.com/jfe/form/SV_cMggVcnCLwAWL6m) <br> [Q Reg Link 2] <br> [Q Reg Link 3] <br> [Q Reg Link 4]<br> *\*\***pending for 2-4**\*\** | Container Camp | [Q Link]() **Pending TBU** | | Getting started with Soteria | [Q Reg Link](https://uarizona.co1.qualtrics.com/jfe/form/SV_8l9nHhIzCyk2DVs) | ### List of known Workshops 1. [Functional Open Science Skills for AI/ML Applications](https://github.com/ua-datalab/FOSS_AI-ML/wiki) (Michele / ) (hybrid) 2. [Bioinformatics](https://github.com/ua-datalab/Bioinformatics/wiki) (Michele / Clement / Francesca / Simona) (hybrid) 3. [NLP for All](https://github.com/ua-datalab/NLP-Speech/blob/main/README.md) (Megh / ) (online) 4. [LLM Frontiers](https://github.com/ua-datalab/Generative-AI) (Enrique / Nick / Carlos ) <!-- 5. [Build a LLM from Scratch](https://github.com/ua-datalab/LLMs-from-scratch/wiki) (Carlos / Enrique / ) ([Greg's program plan](https://gchism.notion.site/Reading-group-LLMs-11cd24ce394d80f0b2a6d37302dd714e)) --> 6. [Research Productivity](https://github.com/ua-datalab/ResearchProductivity/blob/main/README.md) (Rudy) (online) 7. Soteria (Rudy / Michele) (online) 8. CyVerse Office Hours (Michele) (hybrid) 9. AI Applications in CyVerse Webinar (online) (Michele / ) 10. Container Camp (Michele) (in-person. Spring break) *** ### Schedule | Time | Mon | Tue | Wed |Thu | Fri | | :--: | :-- | :-- | :-- | :-- | :-- | | 9:00 |This day is reserved for **Consultations** | This morning is reserved for research on emerging technologies | | This day is reserved for research on emerging technologies | This day is reserved for research on emerging technologies | | 10:00 | | [**Research Productivity Workshop**](https://github.com/ua-datalab/ResearchProductivity/blob/main/README.md) (Jan 28, Mar 18) | | [**Research Productivity Workshop**](https://github.com/ua-datalab/ResearchProductivity/blob/main/README.md) (Feb 20) | [**Cyverse Office Hours**](https://learning.cyverse.org/) (every other week) + [**CyVerse webinar**]() (every other week) | | 11:00 | | | [**DataLab Meetings**](https://docs.google.com/document/d/1c4tf8dd055bwiFs13mE9F3TU-rEooxiKft61dpDL-DM/edit?usp=sharing) - every other week | | | | 12:00 | | | | [**NLP for All**](https://github.com/ua-datalab/NLP-Speech) | | | 13:00 | | [**Classical Machine Learning**](https://github.com/ua-datalab/MLWorkshops/blob/main/README.md) | [**Data Science Tapas**](https://github.com/ua-datalab/DataScience-Tapas/blob/main/README.md) | [**Mastering Generative AI Foundation Models for Research**](https://github.com/ua-datalab/Generative-AI/blob/main/README.md) | | | 14:00 | | [**Functional Open Science Skills for AI/ML Applications**](https://github.com/ua-datalab/FunctionalOpenSourceSkills/wiki) | | [**Bioinformatics**](https://github.com/ua-datalab/Bioinformatics/wiki) | | | 15:30 | | [**AI Makerspace Meet Up**](https://github.com/ua-datalab/AI-Makerspace) (Snakes & Lattes)| | | | | 16:00 | | | | | | <br/> <br/> | Activity | Dates | Instructors| | :-- | :-- |:--| |**DataLab Workshops** | **Week of Jan 28 - Week of Mar. 28 (8 weeks)** | | | Research Productivity (3 - online) | Jan 28, Feb 20, Mar 18 @10-11AM9, / Apr 9, 10 & 11 @10AM-11:30 | Rudy S. | AI Makerspace (In person consultations - Snakes&Lattes) | Tue @3:30PM| Enrique N., Carlos L. | Bioinformatics | Thu @2PM| Michele C., Clement R., Francesca V., Simona M. | Classical Machine Learning | Tue @1PM | Carlos L. | Data Science Tapas | alternate Wed @1PM | _Various_ | Fundamental Skills for Open Science | Tue @2PM | Michele C., Carlos L., Enrique N., Leonardo S. | Mastering Generative AI Foundation Models for Research | Thu @1PM | Enrique N., Nick E., Carlos L. | NLP for All (online) | Thu @12PM | Megh K., Mithun P. | CyVerse Office Hours/Webinars | alternate Fri @10AM | Michele C. + | Container Camp | (Spring break) | | **** <!-- **Notes**: **Tina Lee**: * CyVerse seminars S2025 (every 3-4 weeks) (30-60min) 2/3 Apps development/workflows using CyVerse 1/3 How to use CyVerse / beginners-intermediate YouTube (8 years ) 100 Webinars S2025: Ilyoung (2), ... * Rethink Webinars: HowTo, Podcasts, ... * DSI + CyVerse Events Calendar *** **Greg**: * JetStream 2 Fellowship Pilot (AI in Healthcare for Researchers) - 9 months - Health Science researchers (CB2, ) - own dynamics Spring + Fall 2025 * Raschka's LLM from Scratch seminar with IS students - Spring 2025 *** **Rudy**: * **Research Productivity Workshop** I. (Jan 28, Feb 20, March 18: 10:00 - 11:30) II. (Apr 9, 10, 11. 8:45-10:00) * Soteria Marketing * **CyVerse Health - Solution for Data Privacy and Compliance: Getting Started with Soteria** I. Wed Feb 5 (9:00-9:30am) II Wed Mar 19 (2:00-2:30pm) *** **Michele**: * Bioinformatics (with Clement Goubert, Simona Merlini, Francesca Vitali) * Add new sessions: QTL (Feb 27), GWAS (Mar 6) * Guest sessions: Advance RNA-Seq (Simona/Francesca, Feb 20-28), Transposable Elements (Clement, Mar 20), Current AI/ML implementations in Biosciences (Wheeler Lab) * Notes to be updated upon confirmation from guests. * [Foundational Open Source Skills for AI/ML Applications](https://github.com/ua-datalab/FunctionalOpenSourceSkills/wiki) Jan 28-Mar25, 8 sessions. * FOSS for AI/ML is a non final name. * FOSS for AI/ML additional notes [here](https://github.com/ua-datalab/mlpaths/wiki/Computer-Vision-and-Image%E2%80%90based-Learning) * To add: list of covered software (Gradio, YOLO, ultralytics); image annotation notes (Label Studio, Roboflow). * For Tapas: I'd like to cover Git/GitHub and Reproducibility. *** **Megh**: * NLP for All Workshop: Add sessions on annotations (human + automatic, organize, use AI tools), reorder topics, w/Mithun (8-9 sessions). Find infrastructure (CyVerse) for running an LLM, extra GPU clusters in CyVerse (PyTorch GPU), 1) Michele onboard session. 2) Handholding session, 3) streamline,... *** **Enrique & Carlos** _~~Build a LLM from Scratch~~_ Replicate Sebastian Raschka [book and code](https://github.com/rasbt/LLMs-from-scratch) ![Book](https://camo.githubusercontent.com/54a738f9f8e7a0d8660d69a63af04c1f74b7c3059c349c78c29e545422ea73ad/68747470733a2f2f73656261737469616e72617363686b612e636f6d2f696d616765732f4c4c4d732d66726f6d2d736372617463682d696d616765732f636f7665722e6a70673f313233 =300x) | Topic | Date | Description | | :-- | :--: | :-- | | PyTorch refresh and setup | Jan 28 | | | Understanding large language models | Feb 4 | | | Working with text data |Feb 11 | | |Coding attention mechanisms | Feb 18 | | | Implementing a GPT from scratch to generate text | Feb 25 | | | Pretraining on unlabeled data | Mar 4 | | | Spring break - NO session | Mar 8 - 16 | | | Fine-tuning for classification | Mar 18 | | | Fine-tuning to follow instructions | Mar 25 | | *** **Carlos, ...** Add additional sessions to the _LLM Frontiers Workshop_ **(Pending)** (Replicate [Google/Kaggle Generative AI workshop](https://github.com/clizarraga-UAD7/Notebooks/blob/main/Google-GenAI/readme.md)) * Prompt Engineering ([Notebook](https://github.com/clizarraga-UAD7/Notebooks/blob/main/Google-GenAI/Day_1_Prompting.ipynb)) * Document Q&A with RAG using [Chroma](https://docs.trychroma.com/) ([Notebook](https://github.com/clizarraga-UAD7/Notebooks/blob/main/Google-GenAI/Day_2_Document_Q%26A_with_RAG.ipynb)) * Embeddings and Similarity Scores ([Notebook](https://github.com/clizarraga-UAD7/Notebooks/blob/main/Google-GenAI/Day_2_Embeddings_and_similarity_scores.ipynb)) * Classifying embeddings ([Notebook](https://github.com/clizarraga-UAD7/Notebooks/blob/main/Google-GenAI/Day_2_Classifying_embeddings_with_Keras.ipynb)) * **Function calling using Gemini API** ([Notebook](https://github.com/clizarraga-UAD7/Notebooks/blob/main/Google-GenAI/Day_3_Function_calling_with_the_Gemini_API.ipynb)) * **Building agents using [LangGraph](https://www.langchain.com/langgraph)** ([Notebook](https://github.com/clizarraga-UAD7/Notebooks/blob/main/Google-GenAI/Day_3_Building_an_agent_with_LangGraph.ipynb)) * Google Search grounding with Gemini API using [Google AI Studio](https://aistudio.google.com/prompts/new_chat) ([Notebook](https://github.com/clizarraga-UAD7/Notebooks/blob/main/Google-GenAI/Day_4_Google_Search_grounding.ipynb)) * Fine tuning a custom model using [Google AI Studio](https://aistudio.google.com/app/tune) ([Notebook](https://github.com/clizarraga-UAD7/Notebooks/blob/main/Google-GenAI/Day_4_Fine_tuning_a_custom_model.ipynb)) * Multimodal prompting using Gemini API ([Notebook](https://github.com/clizarraga-UAD7/Notebooks/blob/main/Google-GenAI/Bonus_Day_Extra_API_features_to_try.ipynb)) * [Google End-to-End Gen AI App Starter Pack](https://github.com/GoogleCloudPlatform/generative-ai/tree/main/gemini/sample-apps/e2e-gen-ai-app-starter-pack) * Protype chain of steps * Integrate into the App * Playground testing * Deploy with CI/CD pipelines * Monitor in production *** LLM Applications & Related Topics **(Pending)** * Ollama * Llama + OCR * Multimodal RAG * Code Generation for Scientific Computing (generating scientific computing code, particularly for data analysis and simulation) * Scientific Literature Summarization (complex scientific papers) * Parsing data from documents * **Scientific Image Analysis (multimodal LLMs to interpret and annotate scientific images)** * Structuring all language model responses * Question answering for Docs * Virtual assistants * Classification (labeling) * Data Analysis and Interpretation (interpret complex scientific datasets, generate insights, and suggest analysis strategies) * **Data Labeling** (Labelbox, Labestudio, ) * **Leonardo exeriments** (YOLO, Roboflow, ) End-to-end Jetson project * **Jeff/Tyson Drone's data** * **POSE Estimation** * Use of NVIDIA GPU in HPC/CyVerse * CUDA/Numba * RAPIDS, Polars, CUDA *** ### S2025 Workshop topic ideas 1. Ollama scale-up: Local, CyVerse, HPC (Use NVIDIA GPUs) 1. Use AI Verde in some example (OpenAI API) 1. Best practives of Prompt Engineering using AI Verde 1. Quick RAG application using AI Verde / HPC 1. Multimodal Q&A+OCR in AI Verde (?) (Docling, LLama 3.2, ...) * Multimodal Embedding Models RAG 1. SQL specialized query code generation 1. Function calling with LLMs 1. Code generation assistants *** Scratch space: **Function calling using Gemini API** (Agents, structured output: SQL generation,.. ) **Building agents using [LangGraph](https://www.langchain.com/langgraph)** (Llamaindex) **Llama multimodal** (Ollama local) - OCR **U of A Usecases:** (Real examples - Research objective) access to a v100 Jetstream - CyVerse * **Use Ollama across platforms** (run locally and scale up) * **OCR example** * **SQL** Jake Harwood (Communications) * **LLM** * **Fine Tuning. Use cases Amazon review** * **Things you wanted to do with LLMs but you were afraid to ask.** -->

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