Ergodic

Building AI encompasses a lot of skills, and mastering them can be done with help from the right instructors. The speakers for our month-long AI Builders Summit starting in January are experts who push the AI industry forward. Here’s more info on them! Ivan Lee, Founder of Datasaur: Founded his first mobile gaming company which was acquired by Yahoo. After building AI products at Yahoo and Apple, he launched Datasaur to democratize NLP. Devvret Rishi, CEO of Predibase: Previously an ML product leader at Google working across products like Firebase, Google Research, and the Google Assistant. Chloe Leung, ML Solutions Architect at Predibase: Has deep expertise in developing business-focused LLM solutions. Suman Debnath is a Principal Machine Learning Advocate at Amazon Web Services (AWS). Currently, his focus is on Supervised Learning, Natural Language Processing (NLP), Large Language Models (LLMs), and Retrieval Augmented Generation (RAG). JP Hwang, Technical Curriculum Developer at Weaviate: Loves to enhance others' learning through everything from hands-on coding projects to engaging and informative talks. Cameron Pfiffer, Developer Relations Engineer at .txt: Works to educate and understand developers. Sinan Ozdemir, Founder of LoopGenius: Advises Tola Capital on AI, authored AI resources for Pearson, & ex-Director at Directly. Ed Donner, Co-founder and CTO of Nebula.io: Technology leader and repeat founder of AI startups. Laurie Voss, VP of Developer Relations at LlamaIndex: Developer for 27 years & believes passionately in making the web more accessible for everyone. Andre Franca, PhD, CTO of Ergodic: Co-founder and CTO of Ergodic, building AI powered world models for better decision-making. Valentina Alto, Azure Specialist at Microsoft: Focuses on AI/ML, IoT, and cloud architecture for Mfg/Pharma. Tech author, recently published on GenAI & LLMs. Niels Bantilan, Chief ML Engineer at Union.ai: A core maintainer of Flyte and creator of Pandera. 👨🏫🤖 "Dr. Greg" Loughnane, Co-Founder & CEO of AI Makerspace: Leads ML education programs. Former AI product manager, professor, and startup advisor. Chris "The Wiz 🪄" Alexiuk, Head of LLMs at AI Makerspace: Developer Advocate at NVIDIA. ML engineer, YouTuber, and D&D enthusiast. Julien SIMON, Chief Evangelist at Arcee AI: Dedicated to helping enterprise clients develop top-notch and cost-efficient AI solutions using open-source small language models. We’re stoked for this lineup and we hope you are too! This month-long deep dive into AI Agents, LLMs, RAG, and Reasoning starts on January 15th, so register now and start your year off with a bang! 🚀🚀🚀 🔗 Learn more and register today! https://www.summit.ai/ #AI #LLMs #AITraining #ODSC

🌟 I'm delighted to announce that I have recently joined Ergodic as co-founder and Chief Scientific Officer! Together with Zubair Magrey and Andre Franca, we are developing an AI solution robust enough to tackle complex business decision-making.💡🤖 At Ergodic, we believe that an AI agent framework must be based on a world model - a structured representation of the key elements, interactions, and dynamics within and around the business. 🌐⚙️🔄 If you're interested in exploring how our solution can support your needs by becoming an early beta user, I'd love to hear from you!

🚀 2nd Place - Adia Lab 2024 Causal Discovery $100,000 Challenge 🥈 With my incredible teammate Andre Franca, PhD, we had a great time tackling this challenging competition together. 🤜🤛 #Causal Discovery (quite a new and growing area): Identify the causal structure underlying a set of variables from their observed data. A critical tool for advancing insights and relationships in fields like healthcare, economics, social sciences, and environmental science. The task was to design an algorithm that, given a dataset, outputs the corresponding causal directed acyclic graph. The datasets in this competition defied traditional assumptions, combining both linear and non-linear relationships among uniformly distributed variables, a complexity that exposes the limitations of many SOTA models. Our solution combined supervised and unsupervised redesigned methods, with components tailored to the challenge but a robust core process capable of generalizing to any dataset. It was a remarkable challenge organized by the teams of both Crunch Lab & ADIA Lab, an Abu Dhabi-based laboratory dedicated to basic and applied research in data and computational sciences. It was by far the hardest competition I’ve participated in (especially with the other participants setting the bar so high - many of them being prominent researchers from the field). The challenge's uniqueness and complexity make it, in my view, a strong contender for one of the best competitions of the year. A huge thank you to the organizers and speakers Emanuele Olivetti, Horst Simon, Marcos Lopez de Prado, guido imbens, Miguel Hernán and Aleksander Molak. 📌 Note: I’m starting freelancing ✌️ 2nd note: ADIA Lab will release a report on the datasets and some participants plan to publish their solutions. This has the potential to establish a new benchmark for further work in the causal discovery field. #Causal #Research #DataScience