Welcome to the monthly in-person AI meetup in Austin, in collaboration with PMG. Join us for deep dive tech talks on AI/ML, food/drink, networking with speakers and fellow developers.

Agenda:
* 5:30pm~6:00pm: Checkin, Food/drink and networking
* 6:00pm~6:10pm: Welcome/community update
* 6:10pm~8:00pm: Tech talks and Q&A
* 8:00pm~9:00pm: Open discussion and Mixer

Tech Talk: LLMops on Microsoft Azure
Speaker: Chris Garyet (Microsoft)
Abstract: In the rapidly evolving landscape of AI, Chris Garyet, Director Specialist for Azure AI, presents "LLMOps on Azure," a transformative approach to operationalizing Large Language Models (LLMs) for AI-driven business outcomes. This talk delves into the challenges and solutions for integrating LLMs into real-world applications, emphasizing the shift from traditional MLOps to LLMOps. It highlights the importance of aligning people, processes, and platforms to automate LLM-infused software delivery, ensuring continuous value delivery and control throughout enterprise AI implementations. Join us to explore the paradigm shift and learn how Azure AI is pioneering the journey towards responsible, scalable, and efficient AI operations.

Tech Talk: Building and Deploying an Agent with Reasoning Engine in Vertex AI
Speaker: Rabimba Karanjai (Google Developer Expert)
Abstract: Reasoning Engine (LangChain on Vertex AI) is a managed service that helps you to build and deploy an agent reasoning framework. It gives you the flexibility to choose how much reasoning you want to delegate to the LLM and how much you want to handle with customized code. You can define Python functions that get used as tools via Gemini Function Calling. Reasoning Engine integrates closely with the Python SDK for the Gemini model in Vertex AI, and it can manage prompts, agents, and examples in a modular way. Reasoning Engine is compatible with LangChain, LlamaIndex, or other Python frameworks.

Tech Talk: Practicalities of fine-tuning an LLM & the good side of hallucinations
Speaker: Ramon Serrallonga (INNOANALYTIX)
Abstract: Many companies struggle to extract the power of Generative AI when trying to solve concrete downstream tasks. We will uncover the recipe to get what you want from Generative AI and inside your budget, using a successful case in Management Consulting. Answering common questions like: should we use a proprietary model or an open-source one? Should we use RAG or fine-tuning? Should we use an LLM or an SLM? And so much more.

Speakers/Topics:
Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Venue:
PMG, 515 Congress Ave. #1800, Austin, TX 78701

Sponsors:
* PMG : PMG is the creator of Alli: an AI-powered suite of cloud-based tools for digital marketers. Last year, PMG Alli enabled ad delivery to over 1 Bln consumers in 80+ countries for some of the world’s most iconic brands, including Apple, Nike, and McDonald’s. Established in Fort Worth in 2010, PMG was profitable from day one, and has grown with no outside investment to 700+ employees currently working in 7 offices and remotely. The company is defined by its people-centered culture, and has led AdAge’s annual Best Places to Work list for 8 years in a row.

We are actively seeking sponsors to support AI developers community.  Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 6,000+ AI developers in local or 350K+ worldwide.

AICamp Community on Slack/Discord
- Event chat: chat and connect with speakers and attendees
- Sharing blogs, events, job openings, projects collaborations
Join Slack (search and join the #austin channel) | Join Discord