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README.md
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Claude 3.5 Sonnet has been well received by educators interested in AI integration.
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For many, it is the first model to outperform its OpenAI competitor, GPT-4o, and its "artifact" feature seems particularly successful.
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However,
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In reality,
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Just like OpenAI, Anthropic has an "API" interface, usually meant for developers, which also makes it possible
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to create chatbots with custom knowledge and instructions.
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This is what you will find here.
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- Create a HuggingFace account if you do not have one
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- Set your [Anthropic](https://console.anthropic.com/dashboard) API key as a secret
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- Set desired username and password as secrets
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- Upload the desired knowledge base / reference document for the assistant under "Files"
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- Copy the path where indicated in app.py
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- Change the custom instructions to fit your use case
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- Change UI elements as needed
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Important =
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- This set-up uses a very simple retrieval strategy. Advanced used should consider using [Voyage AI](https://docs.anthropic.com/en/docs/build-with-claude/embeddings) as recommended by Anthropic
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- It does not have a vector store, and
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Claude 3.5 Sonnet has been well received by educators interested in AI integration.
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For many, it is the first model to outperform its OpenAI competitor, GPT-4o, and its "artifact" feature seems particularly successful.
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However, the inability to create shareable assistants (like custom GPTs) is often pointed out as clear disadvantage.
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In reality, just like OpenAI, Anthropic has an "API" interface, usually meant for developers, which makes it possible
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to create chatbots with custom knowledge and instructions.
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This is what you will find here.
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- Create a HuggingFace account if you do not have one
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- Set your [Anthropic](https://console.anthropic.com/dashboard) API key as a secret
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- Set desired username and password as secrets
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- Upload the desired PDF knowledge base / reference document for the assistant under "Files"
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- Copy the path where indicated in app.py
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- Change the custom instructions to fit your use case
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- Change UI elements as needed
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Important =
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- This set-up uses a very simple retrieval strategy. Advanced used should consider using [Voyage AI](https://docs.anthropic.com/en/docs/build-with-claude/embeddings) as recommended by Anthropic
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- It does not have a vector store, and is thus best for a single, small document (e.g., one-page rubric)
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- You have the option to use Claude 3.5 Sonnet or the much cheaper Claude 3 Haiku (see pricing [here](https://www.anthropic.com/pricing#anthropic-api))
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- Advanced RAG for multiple, longer documents and internet access are projects for another time :)
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