Discover llm, a revolutionary Rust library that enables developers to harness the potential of large language models (LLMs) locally. By seamlessly integrating with the Rust ecosystem, llm empowers developers to leverage LLMs on standard hardware, reducing the need for cloud-based APIs and services.
In this talk, I'll explore llm's key features, including its high-speed inference, support for popular LLM architectures, and its lightweight design. Through practical examples, I'll showcase how llm can be applied in content generation, code completion, and language understanding tasks.
Additionally, I'll discuss the challenges of deploying and maintaining LLMs locally, along with best practices and real-world experiences from early adopters.
Recorded live in San Francisco at the AI Engineer Summit 2023. See the full schedule of talks at ai.engineer/summit/schedule & join us at the AI Engineer World's Fair in 2024! Get your tickets today at ai.engineer/worlds-fair
About Mithun Hunsur
Mithun is a seasoned polyglot programmer and engineer with a passion for exploring the depths of computer science. With experience spanning from the low-level to the highest reaches of software development, Mithun has worked on a diverse range of projects across various industries. During the day, he works on Ambient, an open-source runtime/engine for building high-performance multiplayer games and 3D applications. In his free time, he's a tinkerer at heart, diving into the world of game reverse engineering and modification, low-level and embedded programming, virtual and augmented reality, compiler and language hacking, human-computer interface research, and computer architecture and design. Beyond his work in the tech industry, Mithun also has a creative side, dabbling in photography, writing, and AI art. He brings a unique perspective to his work, combining his passion for technology with his artistic sensibilities to build projects that are both innovative and visually stunning.
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