From f7d0899de4ca476facaa51c6086566b9f4cb2622 Mon Sep 17 00:00:00 2001 From: Maytal Dahan Date: Fri, 29 May 2026 16:09:29 -0700 Subject: [PATCH] Update tutorial sections and links in config file --- tutorials/_config.yml | 19 ++++++++++--------- 1 file changed, 10 insertions(+), 9 deletions(-) diff --git a/tutorials/_config.yml b/tutorials/_config.yml index 804f970..158cc35 100644 --- a/tutorials/_config.yml +++ b/tutorials/_config.yml @@ -6,17 +6,18 @@ permalink: pretty baseurl: "/tutorials" nav: - AI/ML, The National CI Ecosysystem, and Tapis: - - (Lecture) AI, CI and Tapis: ./Intro_Tapis/01-intro-to-tapis - - (Hands-on) Initial Steps with TapisUI: ./Intro_Tapis/02-initial-tapis-ui + - (Lecture) Section 1 - AI/ML, the National CyberInfrastructure Ecosystem and Tapis: ./Intro_Tapis/01-intro-to-tapis + - (Hands-on) Section 2 - Initial Steps with TapisUI: ./Intro_Tapis/02-initial-tapis-ui - AI Models and Fleserv: - - (Lecture) Classes of AI Models, 3rd Party Model Registries, Flexserv: ./Tapis_FlexServ/01-lecture - - (Hands-on) Executing Large Models on Vista Via Tapis and Flexserv: ./Tapis_FlexServ/01b-running-flexserv + - (Lecture) Section 3 - Classes of AI Models, 3rd Party Model Registries, Flexserv: ./Tapis_FlexServ/01-lecture + - (Hands-on) Section 4 - Executing Large Models on Vista Via Tapis and Flexserv: ./Tapis_FlexServ/01b-running-flexserv - Vision Models, Fine-tuning and Jupyter Notebooks: - - Vision Models in Science: ./Vision_Models/01-intro-vision-models - - Fine-tuning with Ultralytics: ./Fine_Tuning_Vision/01-intro-fine-tuning - - (Hands-on) Launching Juptyer Notebook: ./Jupyter-Notebook/intro-to-jupyter - - Prompt Engineering and Detection Code: ./Tapis_FlexServ/01c-code-gen-flexserv + - (Lecture) Section 5 - Vision Models in Science: ./Vision_Models/01-intro-vision-models + - (Lecture + Hands-on) Section 6 - Fine-tuning the Vision Model with Ultralytics and Tapis: ./Fine_Tuning_Vision/01-intro-fine-tuning + - (Hands-on) Section 7- Launching Juptyer Notebook: ./Jupyter-Notebook/intro-to-jupyter + - Section 8 - Prompt Engineering and Detection Code: ./Vision_Models/02-prompt-engineering.md + - Section 9 - Generating Code for a Vision Task and Executing in Jupyter: ./Tapis_FlexServ/01c-code-gen-flexserv.md - Evaluating Fine-tuned Models: - - Evaluating our New Model: ./Fine_Tuning_Vision/02-evaluation + - Section 10 - Evaluating fine-tuned model withing Jupyter: ./Fine_Tuning_Vision/02-evaluation.md #- Prompt Engineering: ./Vision_Models/02-prompt-engineering theme: jekyll-theme-minimal