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9 posts tagged with "LangChain"

Topics related to LangChain and its applications in AI

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Tonight @ AIMUG: Lightning Talks, LangChain Voice-Agent Lab & Mixer

· 3 min read
Colin McNamara
Contributor - Austin LangChain AIMUG

Join us tonight for an exciting AIMUG event featuring community lightning talks, a hands-on LangChain Voice Agent lab with FastRTC, and a mixer at The Tavern to wrap up the evening. This is your chance to learn about fresh ideas, get hands-on experience with voice agent development, and connect with fellow AI enthusiasts.

Austin LangChain Office Hours Recap: MCP Architecture, A2A Protocol, and Voice Applications

· 5 min read
Colin McNamara
Contributor - Austin LangChain AIMUG

Our April 22nd Austin LangChain AI Middleware Users Group (AIMUG) office hours session brought together six participants for a dynamic discussion on emerging technologies in the AI middleware space. The conversation spanned MCP architecture, agent-to-agent protocols, voice applications, and the evolving relationship between various AI frameworks.

Integrating AI Workflows - Karim Lalani's Deep Dive into MCP, OpenWeb UI, LangChain, and LangGraph

· 4 min read
Community Contributor

At a recent Austin Lane Chain AI Mug event, Karim Lalani presented an innovative talk on integrating the Model Context Protocol (MCP), OpenWeb UI pipelines, and the agentic workflow capabilities provided by LangGraph—core elements of a broader ecosystem that also includes LangChain for managing language model interactions.

High School Sophomore Creates Groundbreaking AI Solution for Detecting Fatal Liver Cancer

· 7 min read
Colin McNamara
Contributor - Austin LangChain AIMUG

At our March Austin LangChain meeting, we witnessed an extraordinary presentation from Venika Kakarla, a sophomore at Round Rock High School, who developed a sophisticated machine learning model to detect and analyze hepatocellular carcinoma (HTC)—the fatal liver cancer that claimed her grandfather's life. Her innovative approach combines deep neural networks, XGBoost regression, and graph convolutional networks to predict protein stability and DNA binding affinity in cancer cells with unprecedented efficiency.

Austin LangChain Office Hours: Sonnet 3.7 Impresses, AI Simulations Develop Social Media Addiction, and Custom Inference Engines Unlock New Possibilities

· 8 min read
Colin McNamara
Contributor - Austin LangChain AIMUG

AI models with thinking mode and social media simulation

Yesterday's Austin LangChain Office Hours session was packed with mind-blowing insights, from Claude Sonnet 3.7's impressive coding capabilities to AI characters developing social media addiction. We also got an exclusive look at a custom inference engine that could revolutionize how we work with large language models.

Austin LangChain Community: Pioneering the Future of AI Integration

· 7 min read
Colin McNamara
Contributor - Austin LangChain AIMUG

Integration Architecture

What happens when you bring together a passionate community of AI enthusiasts, developers, and innovators? Magic! That's exactly what we experienced during our February 20th Austin LangChain AIMUG community call, where we witnessed something truly special - the convergence of cutting-edge AI technologies that are setting new standards in the field.