From 3776196f0ba2e000c1b2ee7d8bbd7788461e289d Mon Sep 17 00:00:00 2001 From: alexahaushalter Date: Thu, 22 Aug 2024 15:04:52 -0500 Subject: [PATCH] Remove second NavFT blueprint (#441) Removing the second NavFT blueprint after discovering that the dataset is one generated from GPT4. Renaming pieces of the new blueprint to have the original tag names, and removing no-longer-necessary icons. --- use_cases/details/navigator-ft-simple.md | 8 ----- use_cases/details/navigator-ft.md | 15 +++------ use_cases/gretel.json | 35 +++++---------------- use_cases/icons/navigator-ft-simple.png | Bin 1589 -> 0 bytes use_cases/icons/navigator-ft-simple@2x.png | Bin 2616 -> 0 bytes use_cases/icons/navigator-ft-simple@3x.png | Bin 3794 -> 0 bytes 6 files changed, 12 insertions(+), 46 deletions(-) delete mode 100644 use_cases/details/navigator-ft-simple.md delete mode 100644 use_cases/icons/navigator-ft-simple.png delete mode 100644 use_cases/icons/navigator-ft-simple@2x.png delete mode 100644 use_cases/icons/navigator-ft-simple@3x.png diff --git a/use_cases/details/navigator-ft-simple.md b/use_cases/details/navigator-ft-simple.md deleted file mode 100644 index 9e4f56af..00000000 --- a/use_cases/details/navigator-ft-simple.md +++ /dev/null @@ -1,8 +0,0 @@ -![Generate multi-modal synthetic data with Navigator Fine Tuning](https://blueprints.gretel.cloud/use_cases/images/navigator-ft-hero.png "Generate multi-modal synthetic data with Navigator Fine Tuning") - -If you’re new to Gretel, our Navigator Fine-Tuning blueprint is a great place to start. This blueprint automatically selects our comprehensive multi-modal model, a great one-stop shop for most synthetic data generation needs. Just answer a few questions, review the model configuration and hit **Run**. - -Navigator Fine-Tuning supports mutliple tabular modalities of data within a single model, such as numeric, categorical, and free text data. - -Prefer coding? Check out the [SDK notebook](https://colab.research.google.com/github/gretelai/gretel-blueprints/blob/main/docs/notebooks/demo/navigator-fine-tuning-intro-tutorial.ipynb) example. - diff --git a/use_cases/details/navigator-ft.md b/use_cases/details/navigator-ft.md index 85e9a486..7cd026c2 100644 --- a/use_cases/details/navigator-ft.md +++ b/use_cases/details/navigator-ft.md @@ -1,14 +1,7 @@ -![Generate synthetic tabular, text and time series data](https://blueprints.gretel.cloud/use_cases/images/navigator-ft-hero.png "Generate synthetic tabular, text and time series data") +![Synthesize tabular data with Navigator Fine Tuning](https://blueprints.gretel.cloud/use_cases/images/navigator-ft-hero.png "Synthesize tabular data with Navigator Fine Tuning") -**Navigator Fine Tuning** is the latest advancement in our suite of synthetic data solutions. It builds upon the recent general availability of [Gretel Navigator](https://console.gretel.ai/navigator), enabling you to generate data not only from a prompt, but also from fine-tuning the underlying model on your domain-specific real-world datasets to generate the highest quality synthetic data. +If you’re new to Gretel, our Navigator Fine-Tuning blueprint is a great place to start. This blueprint automatically selects our comprehensive multi-modal model, a great one-stop shop for most synthetic data generation needs. Just answer a few questions, review the model configuration and hit **Run**. -One of the standout features of Navigator Fine Tuning is its support for multiple tabular data modalities within a single model. This means you can now generate datasets that maintain correlations across: -- Numeric Data: Continuous or discrete numbers -- Categorical Data: Categories or labels -- Free Text: Unstructured text entries and long-form natural language such as email messages or notes in medical treatment summaries -- Time Series: Sequential time-stamped data -- JSON Data: Complex nested structures +Navigator Fine-Tuning supports mutliple tabular modalities of data within a single model, such as numeric, categorical, and free text data. -All these data types can coexist within a single dataset, maintaining correlations not just within individual rows, but also across events spanning multiple rows, making Navigator an exceptionally powerful tool for time series data generation. - -Try it in the Console, or if you prefer code, give the [SDK notebook](https://colab.research.google.com/github/gretelai/gretel-blueprints/blob/main/docs/notebooks/demo/navigator-fine-tuning-intro-tutorial.ipynb) a spin. +Prefer coding? Check out the [SDK notebook](https://colab.research.google.com/github/gretelai/gretel-blueprints/blob/main/docs/notebooks/demo/navigator-fine-tuning-intro-tutorial.ipynb) example. \ No newline at end of file diff --git a/use_cases/gretel.json b/use_cases/gretel.json index 206c13b5..1daecd25 100644 --- a/use_cases/gretel.json +++ b/use_cases/gretel.json @@ -17,16 +17,20 @@ } }, { - "gtmId": "use-case-navigator-ft-simple", + "gtmId": "use-case-navigator-ft", "title": "Synthesize tabular data with Navigator Fine Tuning", "description": "Use Gretel's flagship model to create high-quality, domain-specific tabular datasets, supporting data types such as numeric, categorical, and free text.", "cardType": "Console", "tag": "New", - "icon": "navigator-ft-simple.png", - "detailsFileName": "navigator-ft-simple.md", + "icon": "navigator-ft.png", + "detailsFileName": "navigator-ft.md", "modelType": "navigator_ft", "modelCategory": "synthetics", - "defaultConfig": "config_templates/gretel/synthetics/navigator-ft.yml" + "defaultConfig": "config_templates/gretel/synthetics/navigator-ft.yml", + "button1": { + "label": "SDK Notebook", + "link": "https://colab.research.google.com/github/gretelai/gretel-blueprints/blob/main/docs/notebooks/demo/navigator-fine-tuning-intro-tutorial.ipynb" + } }, { "gtmId": "use-case-redact-pii", @@ -168,29 +172,6 @@ "bytes": 63000 } }, - { - "gtmId": "use-case-navigator-ft", - "title": "Generate synthetic tabular, text and time series data with Navigator Fine Tuning ", - "description": "Try out our latest synthetic model supporting tabular, text, JSON and time series data in a single dataset.", - "cardType": "Console", - "icon": "navigator-ft.png", - "detailsFileName": "navigator-ft.md", - "modelType": "navigator_ft", - "modelCategory": "synthetics", - "defaultConfig": "config_templates/gretel/synthetics/navigator-ft.yml", - "sampleDataset": { - "fileName": "sample-patient-events.csv", - "description": "This medical dataset contains sequences of annotated events (such as hospital admission, diagnosis, treatment, etc.) for 1,712 synthetic patients.", - "records": 7348, - "fields": 17, - "trainingTime": "25 mins", - "bytes": 2386363 - }, - "button1": { - "label": "SDK Notebook", - "link": "https://colab.research.google.com/github/gretelai/gretel-blueprints/blob/main/docs/notebooks/demo/navigator-fine-tuning-intro-tutorial.ipynb" - } - }, { "gtmId": "use-case-transform-database", "title": "Redact PII in a database", diff --git a/use_cases/icons/navigator-ft-simple.png b/use_cases/icons/navigator-ft-simple.png deleted file mode 100644 index 4bfdc0feec8c1cbd4f08f20f935e027995210c86..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1589 zcmV-52Fm$~P)at5VQ9hz=bbGKoXf z(h7EQXe$&&FjNJrQ<{DWZG0ptQgIVkDfk~)!C7#yh*WTKa1cZX5#5|RDY$5O-j`I` zBHqX4{WzR+xm>^-P#G)s0x0R0kxay-wbZ)gdxM9bQ>tdNsG=+i{{6e_^U?L*Pl#Df zyLJ%SPh6MIE|+$m0#kqeUDcn-ni~Dz)Ip6I7T}SIm2Ha&-X$I}Xer{V;JnMng3~Ua zJD!zfocNYl(h6#ZxJfLhJM?@9mx^VrwS(B+pVe2F#T@EU%wZEI7>ZC)fdmENfBe&q zKaMSOS71;sj{+>pL`e}7vc&VypY?`La=`luFqi^{?6 zB&iVwIx#^iq$0G?P@y(j28D(Ssf(d;S~f~9l(5usWf>ZTvx!EbT?;GxD)M#zx4HV5 zW>VigC*R}!;QGF1=H352=bm%VMTtVV(o#|ul75scijvMQ)5(BHB#kPv)adyz?OwXa zaM^8Xza;53J53{V5KK^%)9%1rkPCD=Hh&`Xh!X@8W;Y#3aPG0WNReD*K2m7o!n`ag zaygk47Eeye?9YBOFX=Lw97~|lu>=|&OJKaPA2~^f&Sa6^B<$Osc$eZt($*CEIY0N; 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