you can also try adjusting the training settings with a different lora rank or step count. it's a tricky balance depending on the training set.
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Reducing Concept Strength to Prevent Overfitting
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Lowering concept strength to something like 0.2 when generating tends to reduce overfitting
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English-Based Programming: Seven Decades of Computing Evolution
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It's credible how far we've come — just over seven decades later since she invented A-0, COBOL. English-based programming has the potential to give all of us superpowers in how we work with computers.
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Gen AI translates English requirements into executable programs
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Gen AI bring us one step closer to this world — where we can express requirements in English, and use models to translate them to programs. When used as part of a program, they allow us to work with unstructured data, and provide a way to deal with uncertainty.
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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