6. Display Chat History and User Input Area • Create a container for the chat history using 'st.container()'
• Display the chat history using '
http://
st.chat_message()' and 'st.markdown()'
• Create a user input area using '
http://
st.chat_input()'
CODE
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Building Chat History and Input Area with Streamlit
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Initialize Chat History and Sidebar for Image Upload in Streamlit
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5. Initialize Chat History and Sidebar for Image Upload • Initialize the chat history using Streamlit's session state
• Create sidebar for image upload using 'st.sidebar'
• Allow users to upload image using 'st.file_uploader()'
• Display the uploaded image using 'st.image()' -
Setting Up Gemini Flash Model with Google API
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4. Set up the Gemini Flash Model • Create a text input for the user to enter their Google API key using 'st.text_input()'
• Configure the genai library with the API key
• Create an instance of the Gemini Flash model -
Setting up Streamlit App Configuration and Layout
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3. Set up the Streamlit App • Set the page title and layout using 'st.set_page_config()'
• Add a title to the app using 'st.title()'
• Add a description for the app using 'st.caption()' -
Building Web Apps with Streamlit and Gemini Flash Model
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2. Import necessary libraries • Streamlit for building the web app
• google.generativeai for accessing the Gemini Flash model
• PIL for image processing -
Build Multimodal LLM Chatbot with Gemini Flash Python
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Build a multimodal LLM chatbot using Gemini Flash in just 30 lines of Python Code (step-by-step instructions):
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Video Production Takes Longer Than Model Building
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ngl, this video took us longer than building the model
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Automated Email Draft Generation with AI Agent
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Here you go for Step 1: https://
docs.google.com/spreadsheets/d
/1v338bsoZLt2G87Mv6ZqYpBPpoPfB4scaRegWzJPmyPA/edit?usp=sharing
… We can also easily extend the agent to get the email and write the draft for you – DM me if you're interested to get it all to work! Here's how we made that in 3 mins with @Lutra_AI : https://
loom.com/share/6c8cdf5c
a0ac4e95b960cf9ce37345d8
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Etymology and Tokenization in Language Models Explained
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Ah this makes sense. So etymology is baked into the tokenization in this way. I guess there's similarity to phoenetic languages in that sense.
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Anthropic’s Scaling Monosemanticity: Breakthrough in Transformer Interpretability
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Es el tema del próximo vídeo y es FAS-CI-NAN-TE, pero el crédito va a Anthropic que no sólo ha hecho un increíble trabajo de interpretabilidad, sino también de documentación que os invito a leer si os interesa. https://
transformer-circuits.pub/2024/scaling-m
onosemanticity/index.html
…