Product Engineering for LLMs // LLMs in Production Conference Part III // Panel 2
MLOps.community
Discussion on NIVA (Nemo Vision Assistant) and the Utility of Multi-Modal AI
Discussion on NIVA, a multi-modal AI model that understands text and images. It can describe images, generate stories, and provide accessibility features without alt text.
// Abstract A product-minded engineering perspective on UX/design patterns, product evaluation, and building with AI. // Bio Charles Frye Charles teaches people how to build ML applications. After doing research in psychopharmacology and neurobiology, he pivoted to artificial neural networks and completed a PhD at the University of California, Berkeley in 2020. He then worked as an educator at Weights & Biases before joining @Full Stack Deep Learning, an online community and MOOC for building with ML. Sahar Mor Sahar is a Product Lead at @stripe with 15y of experience in product and engineering roles. At Stripe, he leads the adoption of LLMs and the Enhanced Issuer Network - a set of data partnerships with top banks to reduce payment fraud. Prior to Stripe he founded a document intelligence API company, was a founding PM in a couple of AI startups, including an accounting automation startup (Zeitgold, acq'd by Deel), and served in the elite intelligence unit 8200 in engineering roles. Sahar authors a weekly AI newsletter (AI Tidbits) and maintains a few open-source AI-related libraries (https://github.com/saharmor). Sarah Guo Sarah Guo is the Founder and Managing Partner at @Conviction, a venture capital firm founded in 2022 to invest in intelligent software, or "Software 3.0." Prior, she spent a decade as a General Partner at Greylock Partners. She has been an early investor or advisor to 40+ companies in software, fintech, security, infrastructure, fundamental research, and AI-native applications. Sarah is from Wisconsin, has four degrees from the University of Pennsylvania, and lives in the Bay Area with her husband and two daughters. She co-hosts the AI podcast "No Priors" with Elad Gil. Shyamala Prayaga Shyamala is a seasoned conversational AI expert. Having led initiatives across connected home, automotive, wearables - just to name a few, she's put her work on research into usability, accessibility, speech recognition, multimodal voice user interfaces, and has even been published internationally across publications like Forbes. Outside of her research, she's spent the last 18 years designing mobile, web, desktop, and smart TV interfaces and has most recently joined @NVIDIA to work on deep learning product suites. Willem Pienaar Willem is the creator of @Feast, the open-source feature store and a builder in the generative AI space. Previously Willem was an engineering manager at Tecton where he led teams in both their open source and enterprise initiatives. Before that Willem built the core ML systems and created the ML platform team at Gojek, the Indonesian decacorn. // Sign up for our Newsletter to never miss an event: https://mlops.community/join/ // Watch all the conference videos here: https://home.mlops.community/home/collections // Check out the MLOps Community podcast: https://open.spotify.com/show/7wZygk3mUUqBaRbBGB1lgh?si=242d3b9675654a69 // Read our blog: mlops.community/blog // Join an in-person local meetup near you: https://mlops.community/meetups/ // MLOps Swag/Merch: https://mlops-community.myshopify.com/ // Follow us on Twitter: https://twitter.com/mlopscommunity //Follow us on Linkedin: https://www.linkedin.com/company/mlopscommunity/
Remember Everything You Learn from Podcasts
