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.
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.
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.
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.
The Austin LangChain community has been making significant strides in technical development, community growth, and event planning. This comprehensive report outlines our key initiatives, progress, and future directions from mid-January through early February 2025.
Join us tomorrow evening for our February Showcase and Mixer! We're excited to present a lineup of practical AI implementations and tool integrations that push the boundaries of what's possible with modern AI workflows.
The Austin LangChain AI Group held its community call on January 30, 2025, bringing together key members to discuss upcoming events, technical developments, and community initiatives. The call showcased the group's commitment to fostering AI innovation and community engagement in Austin.
When a group of seasoned developers, film enthusiasts, and dedicated tinkerers convenes in a buzzing city like Austin, big ideas tend to flourish. During our most recent Austin LangChain community call, we dove deep into the technical nitty-gritty—from local language-model deployments and bridging AI tools to text-to-video experimentation and 3D modeling. Here's a conversational look at the exciting progress and revelations shared during the meeting.
The Austin LangChain AI Middleware User Group gathered at Kinda Tropical for our January Hacky Hour, bringing together AI enthusiasts for an evening of creativity, collaboration, and community building. The relaxed atmosphere provided the perfect setting for members to share their latest projects, exchange ideas, and explore new possibilities in AI development.
This week's Austin LangChain AI Group Office Hours focused on advancing AI development workflows through three key areas: model distillation techniques, tool management strategies, and the emerging Open Web UI ecosystem. Participants shared experiences with running large language models locally, discussed the benefits of model distillation for practical applications, and explored how Open Web UI is revolutionizing the way we build AI-powered applications. The session highlighted a growing trend toward more efficient, customizable AI solutions that can run on consumer hardware while maintaining enterprise-grade capabilities.
(Join our weekly discussions every Tuesday at 2 pm Central on our Discord server. All experience levels welcome!)