Category: Technology



I've been captivated by Wasm's potential from the get-go. The ability to run applications in various environments with a capability based security model is a game-changer. In this talk, I'll be demonstrating Wasm's flexibility through a live demo where I mirror SQLite between browser tabs and the edge, enabling offline-first collaborative workloads. To achieve this, I developed a core library in Rust that embeds SQLite and my synchronization engine while exposing an IO layer to the host. This IO abstraction made it easy to compile the library to Wasm and host it in different environments, such as the browser and durable edge functions. You should attend this talk if you're interested in constructing sophisticated core libraries that can operate everywhere, leveraging the impressive benefits of Wasm. PUBLICATION PERMISSIONS:
Original video was published with the Creative Commons Attribution license (reuse allowed). Link: https://www.youtube.com/watch?v=oLYda9jmNpk https://www.youtube.com/watch?v=hTGdzrr1Fqs



The remarkable capabilities of Large Language Models (LLMs) have taken center stage, sparking widespread discussion and speculation about their impact. What does the future hold in store? Will our communication be solely with bots? Is the advent of prompting destined to eclipse conventional programming? Or are we simply amplifying excitement around inconsistent digital mimics and channeling investments into the unknown? In this insightful presentation, Ines Montani from spaCy/Explosion AI will unveil the potential future landscapes of Natural Language Processing (NLP) in the dynamic era of LLMs. She will also share a pragmatic and actionable approach for harnessing the capabilities of Large Language Models to successfully transition NLP projects from initial prototypes to full-fledged production. Join Ines as she navigates the current applications and anticipates the future trajectories of LLMs in the continually evolving domain of NLP. PUBLICATION PERMISSIONS:
PyData provided Coding Tech with the permission to republish PyData talks. CREDITS:
PyData YouTube channel: https://www.youtube.com/@PyDataTV/videos https://www.youtube.com/watch?v=LyGzTPzN3Cs



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