Over the last few months there's a been a huge trend in implementing RAG for technical documentation and offloading support. In theory this makes sense to free up developers on rotation, but it's not as "simple" as you think. You need to have some sort of analytics behind your bot, decoupling queries from bot responses and synthesizing this information to continue extracting value from the voice of the customer. #voiceofcustomer #community #devrel #developeradvocate #chatbot https://lnkd.in/g4vv6WZS
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Task 3: Real-Time Chat Application (Trixie Bot) Completed a real-time chat application as part of my journey with Pinnacle Labs, built using Flask. This project allowed me to dive deep into web development, creating a dynamic and interactive platform for real-time communication. I thoroughly enjoyed tackling the complexities of real-time data handling and enhancing the user experience. Looking forward to applying these skills to even more exciting projects! #RealTimeChat #FlaskFramework #WebDevelopment #PinnacleLabs #TechProjects #PythonDeveloper #SoftwareSolutions #CodingJourney #ChatApplication
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The Chat with PDF application is a tool that allows users to upload PDF documents and interact with them by asking questions. Deployed application - https://lnkd.in/gj6ex_cS Github repo - https://lnkd.in/gkA-Z_ga #chatbot #genai
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🚀 Excited to share my first project for the Headstarter Accelerator: Customer Churn Prediction!** 🏦✨ This project helps banks predict which customers are at risk of leaving, enabling them to take proactive steps for customer retention. 🔐 Here’s how I approached it: - 🔍 Data Preparation: Processed bank customer data from Kaggle to ensure clean, quality input for model training. - 🤖 Model Training: Trained 5 machine learning models, including XGBoost Random Forest, and **Gradient Boosting**, with a focus on optimizing recall to accurately identify potential churners. - 🌐 Interactive Web App: Developed a web app using Streamlit to visualize model performance. Integrated Llama 3.2 for generating customer-friendly explanations and automated churn-prevention emails. 🖥️ Explore the app here: https://lnkd.in/g3TQm5he - 🛠️ API Deployment: Deployed my API using FastAPI, allowing easy integration of the churn models into any application. 🚀 #MachineLearning #Streamlit #ChurnPrediction #CustomerRetention #FastAPI
Streamlit
hs-proj-1-webapp-2.onrender.com
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I've been working on writing a spec for in-app chat along with building a proof of concept for Code.Sydney's Marketplace App for Good. Spent some time thinking about: - How I want to query my data, - Where I want to put indexes on my tables, - Using ordered IDs for my Message IDs, - Polling for updates vs Websocket events (Pull vs Push communication) - State management in React using reducers and other alternatives. Also to be added in and not currently covered: - Using a last_message_id field on the threads table which would allow me to check a single row instead of scanning through the messages table. Not finished. Very on brand for me, hehehe. But also not bad for a spec considering that I've never been coached on writing specs. I just pieced together whatever I could find on the internet.
MA6 - In-App Chat · Issue #7 · codesydney/marketplace-app-for-good
github.com
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Make your custom GPTs smarter with this hack: Setup: 1 - Connect custom GPT to a Webhook 2 - Connect the Webhook to any application Outcome: Allow ChatGPT to "talk" to your data! Endless possibilities. I showed how to do this in my previous video but didn't go into the details of the Make webhook setup. So I created this video to fill that gap. Link in comments. *** Hit 'follow' to level up your no-code game. ↗ #innovation #software #nocode #future
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Blazor how-to's: create a chat application - part 1: introduction #dotNETCore #ASPdotNETCore #Blazor #messagequeues #rabbitmq #MVPBuzz https://lnkd.in/dTvYW7Eq
Blazor how-to's: create a chat application - part 1: introduction
davidguida.net
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Here is a Claude use case. Take a bunch of data and preferences, throw it into Claude and ask for an interactive bot, that can be used to help you make decisions, scoring and reward features and tailor as necessary. Learn more at S2udios.com
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Build a no-code chatbot with custom knowledge base in 5 mins ▸ https://lttr.ai/AQgZ0
Build a no-code chatbot with custom knowledge base in 5 mins
https://www.planetnocode.com
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In the interest of being lazy - if you want to get started or have some questions about using GNPS2 - checkout our Documentation Chatbot: https://lnkd.in/gykFT5TK If this isn't helpful, definitely swing by my online office hours (almost 6 years!): https://lnkd.in/gKJfY73N
Streamlit
documentationai.gnps2.org
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#CyberChef is a great "little" tool for daily usage if you throw around a lot of data. BUT, it can also be a great way to learn or visually explain various concepts. (see example below checking how special characters are being encoded in UTF) Transform images, encode, generate fake data, combine all the steps - the list is too long. Go check it yourself: https://cyberchef.org/ Or perhaps it already helps you on the daily basis? #tools #development #simplicity #automation
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