Find all the awesome LLM Apps demo with RAG in the following Github Repo. P.S: Don't forget to star the repo to show your support
LLMS
-

Full Multimodal Chatbot with Google Gemini Flash
By
–
Full Multimodal Chatbot code using Google's Gemini Flash
-
Building Gemini Flash Chatbot with Image Upload and History
By
–
7. Generate Response and Display • If a prompt is entered, add the user message to the chat history and display it
• If an image is uploaded, add it to the inputs list
• Generate a response using the Gemini Flash
• Display the assistant response in the chat message container -

Setting Up Gemini Flash Model with Google API
By
–
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 -
Build Multimodal LLM Chatbot with Gemini Flash Python
By
–
Build a multimodal LLM chatbot using Gemini Flash in just 30 lines of Python Code (step-by-step instructions):
-

Speculation on upcoming AI features for Perplexity
By
–
Perplexity is cooking something Is it a new image gen model for making better banners for Pages? Is it a new vision capability? GPT-4o multimodal integration? Or @nothing
? …??…??.. -
User feedback on AI model selector functionality
By
–
It is a feature called “Model Selector”. But anything other than Sonnet isn't working anyway
-
Testing LLM Accuracy with Mathematical Problems
By
–
Mathematicians, unite! What are your go-to problems for testing the accuracy of LLMs?
-

Tips for Optimizing ChatGPT Prompts
By
–
Perfect ChatGPT Prompts: Unlock Potential • Ensures effective communication
• Generates better responses • Be specific
• Use clear language
• Follow up intelligently Read more: https://
buff.ly/3VFhrJv -

Using LLM context windows for automated Q&A generation
By
–
One handy use case for this tool is to auto generation of a Q&A section based on a given context. Here it becomes more useful considering a Gemini 1.5 Pro's huge context window.