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19 changes: 10 additions & 9 deletions tutorials/_config.yml
Original file line number Diff line number Diff line change
Expand Up @@ -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
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