Generative AI & DevOps Engineer | AI Agent & Model Development | Dell Boomi Integration Expert
Day 8 #0to100xEngineer challenge: 🤖💬 Today, I kicked things up a notch by diving into the development of a chatbot. Explored Streamlit, a powerful Python library, and learned how I can use it to build an end-to-end chatbot powered by the LLAMA2 language model. Link used: https://lnkd.in/d_-eJqxS
Director and Country Head, Generative AI @ Microsoft India & South Asia | LinkedIn Top Voice | Top 100 AI Leaders | Startup Advisor- NASSCOM&Telangana AI | TEDx | Keynote Speaker| Podcast - Gen AI & I | ranjanimani.com
GPT-4 Multimodal capabilities seem wild! Here is an example of picture-to-recipe with gpt4 There are umpteen examples from - Coding from screenshots of dashboards - Breakdown of workflow diagrams - Provides ideas for image rendering and design - Figma designs to code - Convert python code into javascript And more As a Mashable article states, it can also help you find Waldo :) Have you tried out ChatGPT Vision ? ************************** Ranjani Mani #reviewswithranjani #GenerativeAI #Technology | #Books | #Beingbetter
Senior System Administrator | Lead System Administrator | Senior System Engineer | DevOps
Chief Roadblock Remover and Learning Enabler | Software Development Expert | Leadership and Career Coach | Speaker | Author | Building great products, building great teams!
𝗛𝗼𝘄 𝘁𝗼 𝘃𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗲 𝗔𝗣𝗜 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗲𝘀? When we work with APIs, the data is usually in JSON format. Sometimes, that data can be very large and hard to grasp. Another way to view it is to represent the data in different visualization formats, such as tables or graphs. And here, Postman's AI companion (Postbot) can help us. You can also use natural language to customize those visualizations. Check it out: https://lnkd.in/d_5Mn_WK. #technology #softwareengineering #programming #techworldwithmilan #api
Build a Retrieval Augmented Generation (RAG) Chatbot in just few steps with NVIDIA AI Foundation models
Watch a tutorial on how to build your first #AI chatbot in under 5 minutes – with only 100 lines of #Python code and no GPU infrastructure. 🤖 https://nvda.ws/3SFvmOd
RAG is becoming mainstream, next step is to evaluate and improve to fit your business needs
Watch a tutorial on how to build your first #AI chatbot in under 5 minutes – with only 100 lines of #Python code and no GPU infrastructure. 🤖 https://nvda.ws/3SFvmOd
IBM Fellow | Master Inventor | CTO-Hybrid Cloud Services | Developer | Gamer | Music Producer | Author/Blogger
Just published a blog on using #llamaindex to implement a Q&A application using #streamlit chat interface, to query a document. This is the first part of the series, that I have started on advanced #rag #retrievalaugmentedgeneration applications on various types of content. I hope this is helpful, feel free to share your feedback. #largelanguagemodels #openai #gpt #llama2 #python #machinelearning #promptengineering
Gemini-Flash: A Multi Function Chatbot for Enhanced Customer Support In the pursuit of enhancing customer service experiences, the development of a customer support chatbot utilizing Google Gemini-Flash API showcases a streamlined and modular approach. This project structure ensures a modular and maintainable approach to building a customer support chatbot. The separation of concerns across different utility files promotes clarity and ease of maintenance, making it an effective solution for customer service enhancements. #AI #Chatbot #GenAI #Python #google #Gemini-Flash
Aspiring Agile SDE | Python Programmer | ML Model Trainer | Data Science & Visualization Specialist | State Head Event Coordinator @YUCI
Introducing Marwin: My Chatbot Project ! Hey LinkedIn fam! Excited to share the evolution of my chatbot project, Marwin! 🤖 1️⃣ Chatbot 1.0 - Simple Q&A: - Started with a basic version that responds to prompts. - Every interaction involves changing the prompt for unique answers. - Simple yet effective for straightforward queries. 2️⃣ Chatbot 2.0 - Always Ready: - Developed a custom bot that doesn't need a prompt every time. - Ready to tackle any question thrown its way. - A seamless experience for users seeking instant responses. 3️⃣ Chatbot 3.0 - Gradio Magic: - Took it up a notch with Gradio Python library. - Local and public URLs generated on run. - Accessible from any device, providing a web page-like experience. - Features an input box for queries and an output box for Marwin's wisdom. - Responsive and user-friendly. Tech Stack: - Built entirely in Python with the help of essential libraries. - Installation of required packages made the magic happen. 🚩 Flagging Feature: - Implemented a nifty flagging mechanism. - Users can flag messages, storing them in a designated folder. - Convenient way to track flagged queries and responses. #Chatbot #AI #PythonMagic #InnovationInProgress
ChatDev: The AI-Powered Virtual Software Company Link: https://lnkd.in/gkwrF-6F For more videos: https://lnkd.in/dXFdEPYE 😎 ChatDev: Virtual software company using AI models 🤖 Assigns tasks to multiple intelligent agents 👩💻 Offers easy-to-use, customizable, extendable framework 🌐 Outputs various types of software 🛠 Requires Git, Python, Conda, OpenAI API key #ChatDev, #AI, #VirtualSoftware, #AppCreation, #GPT3, #IntelligentAgents, #CustomizableFramework, #SoftwareDevelopment, #OpenAI, #Python, #Git, #Conda, #CollectiveIntelligence, #LanguageModels, #AIRevolution
In this tutorial, learn how to use LaunchDarkly to swap between AssemblyAI models based on application contexts such as user email domain, device, zip code, etc. Tailor AI-powered transcription to your needs. View the full tutorial: https://lnkd.in/gSK4Tbpx
