Machine Learning

Join us for another session of our study group as we dive into the fascinating world of Large Language Models (LLMs) using the book **Build a Large Language Model from Scratch** from Manning. In this session, we will finish **Chapter 7: Fine-tuning to follow instructions**. In the last session, we talked about how to prepare the dataset for instruction fine-tuning and in this session we will perform the fine-tuning and evaluate the model afterwards. This isn't just a lecture! Come ready to ask questions, share insights, and code along. Whether you're a beginner or have some experience, this is the perfect opportunity to build a strong foundation together. If you plan to work with the code on your own laptop during the session, try and set-up the environment ahead of time (https://github.com/rasbt/LLMs-from-scratch/tree/main/setup). We will be meeting at the North County Governmental Center this time that is across from the Reston public library.

We will be meeting at Starbucks to learn together. Come with an online class you're already going through or an interest and we will try to connect you with a course where you can learn it. Already have a skill you want to contribute to a Kaggle Datascience competition? We will work on these too! Laptop required :)

Title: Geometric Machine Learning with Symmetries and Graphs: Applications in Molecular Problems Date: Jan 31 2026 Noon - 14:00 EST Abstract: For geometric problems, symmetry equivariant machine learning has emerged as the modus operandi. In physics, symmetry is treated as the north star, the guiding principle for problem characterization and method optimization. Geometric features are inherently compatible with continuous Lie groups (and therefore symmetries), leading to continuous parametrization and successful training methodologies. The general mapping of a classical embedding and a quantum mechanical embedding will be discussed in terms of group theoretical concepts. In the context of embeddings, graph embedding is also a powerful method for machine learning problems taking better care of inter-relations among nodal variables. Classical and quantum neural networks with different subsets of the concepts mentioned will be defined and learning attempted with. The dataset under study is geometric molecular data (from quantum mechanical models) with varying geometric complexity. Performance comparison will include accuracy metrics, generalizability metrics, and.general remarks about expressivity. Bio: Dr Saumya Biswas completed a Master's degree in electrical engineering from University of California Riverside in 2016, a PhD in Physics from University of Oregon in 2021. He has been serving as a PostDoc at University of Maryland from 2022. He is also active in the technology subspace, working with the companies Apsidal LLC and Sapienly for AI and quantum information innovations. Moderators: Dr. Sebastian Zajac, member of QPoland, Dr. Pawel Gora, CEO of Quantum AI Foundation

In this talk, Sean Hoar will explore how AI assistants can accelerate different stages of software development. From idea generation and prototyping to coding, testing, and debugging, AI tools are transforming how developers work. He’ll provide practical examples of where AI can save time, reduce errors, and help teams focus on higher-level problem-solving. Attendees will leave with actionable strategies to integrate AI into their workflow and stay ahead in the evolving tech landscape.

Discover the path to stress management, life's tranquility, and self-improvement through Heartfulness Meditation. Embrace relaxation, meditation, and emotional detoxification practices to unlock your best self. Join our free sessions every Sunday at 8 AM at VA. Experience the profound benefits of these simple yet powerful practices. Commit to a few months of meditation and witness the transformative impact firsthand. We eagerly await your presence at these enlightening sessions.

## **1 Million Cups Loudoun Workshop: How AI Can Work for Your Business** **Wednesday\, January 28 \| 9:00 AM – 10:00 AM** **Venture X Loudoun – Ashburn** Artificial Intelligence is no longer just a buzzword — it’s a practical tool that businesses of all sizes can begin using today. Join **1 Million Cups Loudoun** for a special **workshop-style presentation** led by **Victor Meer of AI Prime** and **Jay Jay Billings of Band Gap AI**, designed to help entrepreneurs understand how AI can realistically support their business operations. This workshop will provide: * A clear, practical overview of what AI actually is * Real-world examples of how businesses are using AI today * Insight into where automation can save time and reduce friction * Guidance on how to start leveraging AI without needing technical expertise Whether you’re AI-curious, overwhelmed by the noise, or ready to explore automation in your business, this session will help you think clearly about where AI fits — and where it doesn’t. As always, coffee, conversation, and community are at the heart of 1 Million Cups Loudoun. ### What Is 1 Million Cups? 1 Million Cups is a national program powered by the Kauffman Foundation that brings together entrepreneurs and community members for weekly conversations that educate, support, and inspire. Loudoun’s chapter meets on the 2nd and 4th Wednesdays of each month. Join us on **January 14 at 9:00 AM** for coffee, connection, and a meaningful conversation about reimagining after-school education in Loudoun County. **We look forward to seeing you there.**