If you find this useful, RT to share it with your friends. Don't forget to follow me @Saboo_Shubham_ for more such LLMs tips and tutorials.
@saboo_shubham_
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Awesome LLM Apps with RAG and AI Agents on GitHub
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Find all the awesome LLM Apps demo with RAG and AI agents in the following Github Repo. P.S: Don't forget to star the repo to show your support
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Streamlit Demo App Using Claude Web Search Integration
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Working Application demo using Streamlit
— Shubham Saboo (@Saboo_Shubham_) 2 juillet 2024
Paste the above code in vscode or pycharm and run the following command: 'streamlit run claude_websearch.py' pic.twitter.com/I9iF3KEQUfWorking Application demo using Streamlit Paste the above code in vscode or pycharm and run the following command: 'streamlit run claude_websearch.py'
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Full Application Code for Generative AI Search Assistant
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Full Application code for Generative AI Search Assistant
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Web Search Integration with Claude Sonnet 3.5
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5. Search the Web with the new Claude Sonnet 3.5 • Create a text input for the user to enter their query using 'st.text_input()'
• If a question is asked, run the assistant to get the answer and display it using 'st.write()' -
Build AI Assistant with Claude and DuckDuckGo Integration
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4. Create and Initialize the AI assistant • Create a text input to enter their Anthropic API key using 'st.text_input()'
• If the Anthropic API key is provided, create an instance of Assistant with claude sonnet 3.5 as LLM and DuckDuckGo as the tool. -
Building Streamlit User Interfaces with Python Code
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3. Set up the Streamlit App Streamlit lets you create user interface with just python code, for this app we will:
• Add a title to the app using 'st.title()'
• Add a description for the app using 'st.caption()' -
Essential Libraries for Building AI Agents with Streamlit
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2. Import necessary libraries • Streamlit for building the web app
• Phidata for building AI agents
• Anthropic for using Claude via API
• Duckduckgo for the search functionality -
Claude Sonnet 3.5 Web Search in 15 Python Lines
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Claude Sonnet 3.5 can now search the web with just 15 lines of Python code (step-by-step instructions):
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LLMs Tips and Tutorials for Language Model Users
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If you find this useful, RT to share it with your friends.
— Shubham Saboo (@Saboo_Shubham_) 1 juillet 2024
Don't forget to follow me @Saboo_Shubham_ for more such LLMs tips and tutorials.https://t.co/l1EzBmm38wIf you find this useful, RT to share it with your friends. Don't forget to follow me @Saboo_Shubham_ for more such LLMs tips and tutorials.