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Keep readme markdown and notebook in sync. #312

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Keep readme markdown and notebook in sync. #312

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2 changes: 1 addition & 1 deletion templates/intro-jobs/README.md
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Expand Up @@ -59,7 +59,7 @@ You can view active and historical job runs at (`Home > Jobs`). Click into the j

You should see the job state and its output on the overview page.

<img src="https://raw.githubusercontent.com/anyscale/templates/main/templates/intro-jobs/assets/anyscale-job.png" height=400px>
<img src="assets/anyscale-job.png" height=400px>

## Submitting a Job programmatically

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4 changes: 2 additions & 2 deletions templates/text-embeddings/README.md
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Expand Up @@ -7,7 +7,7 @@ This template shows you how to:
2. Chunk the raw input text using Ray Data and LangChain.
3. Compute embeddings using a pre-trained HuggingFace model, and write the results to cloud storage.

<img src="https://raw.githubusercontent.com/anyscale/templates/main/templates/text-embeddings/assets/diagram.jpg"/>
![Overview of Text Embeddings Pipeline](assets/diagram.jpg)

For a Python script version of the `.ipynb` notebook used for the workspace template, refer to `main.py`.

Expand Down Expand Up @@ -236,7 +236,7 @@ You can also specify which accelerator type (for example, if your model requires

If you do not need to select a particular instance type, you can omit this parameter and select "Auto-select worker nodes" under the compute configuration to have Ray select the best worker nodes from the available types:

<img src="https://raw.githubusercontent.com/anyscale/templates/main/templates/text-embeddings/assets/ray-data-gpu.png" width="400"/>
<img src="assets/ray-data-gpu.png" width="400"/>


```python
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