fix[documentation]: Update links to point to correct pages (#549)

# What does this PR do?

In short, provide a summary of what this PR does and why. Usually, the
relevant context should be present in a linked issue.

- [x] Addresses issue (#548)


## Test Plan

Please describe:
No automated tests. Clicked on each link to ensure I was directed to the
right page.

## Sources


## Before submitting

- [x] This PR fixes a typo or improves the docs (you can dismiss the
other checks if that's the case).
- [x] Ran pre-commit to handle lint / formatting issues.
- [x] Read the [contributor
guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md),
      Pull Request section?
- [x] Updated relevant documentation.
- [ ] ~Wrote necessary unit or integration tests.~
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Sean 2024-11-29 21:43:56 +08:00 committed by GitHub
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6 changed files with 12 additions and 12 deletions

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@ -231,7 +231,7 @@
"source": [
"Thanks for checking out this notebook! \n",
"\n",
"The next one will be a guide on [Prompt Engineering](./01_Prompt_Engineering101.ipynb), please continue learning!"
"The next one will be a guide on [Prompt Engineering](./02_Prompt_Engineering101.ipynb), please continue learning!"
]
}
],

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@ -276,7 +276,7 @@
"source": [
"Thanks for checking out this notebook! \n",
"\n",
"The next one will be a guide on how to chat with images, continue to the notebook [here](./02_Image_Chat101.ipynb). Happy learning!"
"The next one will be a guide on how to chat with images, continue to the notebook [here](./03_Image_Chat101.ipynb). Happy learning!"
]
}
],

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@ -175,7 +175,7 @@
"source": [
"Thanks for checking out this notebook! \n",
"\n",
"The next one in the series will teach you one of the favorite applications of Large Language Models: [Tool Calling](./03_Tool_Calling101.ipynb). Enjoy!"
"The next one in the series will teach you one of the favorite applications of Large Language Models: [Tool Calling](./04_Tool_Calling101.ipynb). Enjoy!"
]
}
],

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@ -373,7 +373,7 @@
"source": [
"Awesome, now we can embed all our notes with Llama-stack and ask it about the meaning of life :)\n",
"\n",
"Next up, we will learn about the safety features and how to use them: [notebook link](./05_Safety101.ipynb)"
"Next up, we will learn about the safety features and how to use them: [notebook link](./06_Safety101.ipynb)."
]
}
],

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@ -107,7 +107,7 @@
"source": [
"Thanks for leaning about the Safety API of Llama-Stack. \n",
"\n",
"Finally, we learn about the Agents API, [here](./06_Agents101.ipynb)"
"Finally, we learn about the Agents API, [here](./07_Agents101.ipynb)."
]
}
],

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@ -229,13 +229,13 @@ This command initializes the model to interact with your local Llama Stack insta
**Explore Other Guides**: Dive deeper into specific topics by following these guides:
- [Understanding Distribution](https://llama-stack.readthedocs.io/en/latest/getting_started/index.html#decide-your-inference-provider)
- [Inference 101](00_Inference101.ipynb)
- [Local and Cloud Model Toggling 101](00_Local_Cloud_Inference101.ipynb)
- [Prompt Engineering](01_Prompt_Engineering101.ipynb)
- [Chat with Image - LlamaStack Vision API](02_Image_Chat101.ipynb)
- [Tool Calling: How to and Details](03_Tool_Calling101.ipynb)
- [Memory API: Show Simple In-Memory Retrieval](04_Memory101.ipynb)
- [Using Safety API in Conversation](05_Safety101.ipynb)
- [Agents API: Explain Components](06_Agents101.ipynb)
- [Local and Cloud Model Toggling 101](01_Local_Cloud_Inference101.ipynb)
- [Prompt Engineering](02_Prompt_Engineering101.ipynb)
- [Chat with Image - LlamaStack Vision API](03_Image_Chat101.ipynb)
- [Tool Calling: How to and Details](04_Tool_Calling101.ipynb)
- [Memory API: Show Simple In-Memory Retrieval](05_Memory101.ipynb)
- [Using Safety API in Conversation](06_Safety101.ipynb)
- [Agents API: Explain Components](07_Agents101.ipynb)
**Explore Client SDKs**: Utilize our client SDKs for various languages to integrate Llama Stack into your applications: