Chris Columbkille Biddle’s Post

Many people I am speaking to on a daily basis really want to do something with generative AI, but don't know what to do.... Let me introduce you to Henry Heng, the founder of FlowiseAI. Together with Madhukar Kumar they discuss interesting potential use cases of generative AI applications (5:07) and also discuss the best types of databases to use. Watch it and let me know what you think! #SingleStore #VectorDatabase #GenerativeAI #AI #RAG #Bestdatabase #Allinonedatabase

🚀 Day 14 of #100DaysofNoCode 💯 It's a WRAP for build weekend. 👏🏼👏🏼👏🏼 It's been an amazing journey, and incredibly rewarding to wrap up my Task Tracker and share it with the world. Build Weekend may be over, but the journey continues. Here's what I've been working on... Airtable Base: https://lnkd.in/derTdQJH #100DaysofNoCode #100DaysofAI #NoCode #AI #BuildWeekend

New Update On My App PicGenie 🚀 I just released two major new update on my app PicGenie. These are the features: 1. Folder Creation: Users can now create folders on their profile and store images there. Users can also edit, delete, and change the visibility of their folder. 2. Image Deletion: Users can delete any image that they've generated by clicking on the delete button. I'm really excited on this update because it made me learn more on backend and frontend development, it also brings me joy seeing my app solves problem for people. Check it out and let me know what you think. You can check it out at http://picgenie.vercel.app

I just launched CanYouMeet.us Here is the short pitch: Avoid group email/text chaos for event scheduling. Use CanYouMeet.us to let participants suggest dates/times in natural language. AI finds the best time/date that match the preferences for most (if not all) participants. It’s totally free.

Interested in AI & NoCode but not sure where to start? 💡 Have a business idea but not sure how to build it? Join us this Friday from 11AM - 12PM AEST for our weekly office hours! Our CEO and co-founder, Dave, one of only 12 Bubble.io experts worldwide, will be answering all your questions about NoCode and AI. Comment below 'Count me in' and I'll DM you the details. #NoCode #AI #OfficeHours #TechForGood #DigitalTransformation #LightningProducts

Build a basic LLM app in minutes! Powered by LangChain, Ollama (Llama 3.2), and Streamlit – it’s a simple and private app. Great for beginners. Ready to build your own? Check out my blog. #LargeLanguageModels #LangChain #Streamlit #Ollama

Curious about building #GenAI-powered apps? 🤖 From choosing the right model 🔍 to powerful build tools like #RAG and #LangChain 🛠️, and finally, seamless deployment with #MLOps and #Kubernetes. Whether you're scaling up or fine-tuning, this quick guide has actionable insights for developers at all stages of GenAI app development. 🔗 Watch here to learn more: https://lnkd.in/d2BpkGGh Learn more about ECS ➡ https://techecs.com/ #ECS #ThinkChangeLead #GenAI #AppDevelopment #MachineLearning #AI

Excited to share my journey of building a Multi-Model Aggregator in the rapidly evolving world of Artificial Intelligence! 🚀 Powerful language models like GPT-4, Google Gemini, Claude By Anthropic, and Meta’s Llama 3 are pushing boundaries, but navigating this diverse landscape can be overwhelming. How do you harness the unique strengths of each model for specific tasks? Introducing my latest project: Ask Anything to Your Favorite AI Models (https://my-docs.ai). 🌟 This AI aggregation tool empowers users to access cutting-edge model capabilities with unparalleled flexibility and ease. Explore the future of AI with my aggregation tool: https://my-docs.ai. #AI #ArtificialIntelligence #MLM #Innovation

Use the generative AI chatbot https://lnkd.in/gAfYJQUP

Delighted to unveil my latest project: a Game Recommender System driven by cutting-edge Generative AI! 🎮✨ Harnessing the power of the Retrieval-Augmented Generation (RAG) model and the Mistral large language model (LLM), I've developed a system that goes beyond mere game recommendations—it offers a profound understanding of user preferences and behaviors. Here’s why this project stands out: 🔍 RAG Model: Leveraging retrieval-augmented techniques to dynamically source real-time game data, ensuring recommendations are precise and diverse. 🤖 LLM Mistral: With its advanced language processing capabilities, Mistral interprets user inputs with naturalness and intuition, delivering personalized interactions. 📊 VectorDB: Enhancing recommendation accuracy by integrating vectorized representations of user preferences and game attributes. 🎯 Gen AI Innovation: By seamlessly merging retrieval-based and generative AI methods, our system tailors recommendations to each user's unique tastes. While developing this project, I encountered challenges such as scraping real-time Play Store data, accessing various LLMs, and training models via prompt engineering. However, each hurdle was a valuable learning experience, marking just the beginning of my journey into GenAI. Proud to share the culmination of hard work and innovation, and eager to witness how it transforms gaming experiences! ✨ Know more about project insight by reading my Blog on Medium: https://lnkd.in/d_2a_YZ5 ✨ Link to the Project: https://lnkd.in/dj8Ez_k9 #ArtificialIntelligence #GenAI #MachineLearning #GameRecommender #TechInnovation #AI #ML #Gaming #DataScience #RAG #VectorDB #LLM