In this episode I make a non exhaustive list of machine learning tools and frameworks, written in Rust. Not all of them are mature enough for production environments. I believe that community effort can change this very quickly.
To make a comparison with the Python ecosystem I will cover frameworks for linear algebra (numpy), dataframes (pandas), off-the-she ... Show More
May 2018
Practical Deep Learning with Rachel Thomas - TWiML Talk #138
In this episode, i'm joined by Rachel Thomas, founder and researcher at Fast AI. If you’re not familiar with Fast AI, the company offers a series of courses including Practical Deep Learning for Coders, Cutting Edge Deep Learning for Coders and Rachel’s Computational Linear Algeb ... Show More
44m 19s
Dec 2023
706: AI and ML - The Pieces Explained
In this episode of Syntax, Wes and Scott talk about understanding the integration of different components in AI models, the choice between traditional models and Language Learning Models (LLM), the relevance of the Hugging Face library, demystify Llama, discuss spaces in AI, and ... Show More
33m 1s
Mar 2024
172: Transformers and Large Language Models
Patrick and Jason explain transformers and large language models from the ground up. They cover attention, encoders and decoders, self-supervised learning, RLHF, and the key architectural ideas that made modern LLMs possible.
1h 26m
Aug 2023
Rust for JS Devs — Part 2
In this episode of Syntax, Wes and Scott jump into part 2 of their look at Rust for JavaScript developers, including variables in Rust, type systems in Rust, signed and unsigned integers, and more.
Show Notes 00:10 Welcome
00:43 Audio issue bugs
03:17 Building decks
06:0 ... Show More
56 m
<p>There have been major Rust developments in the Linux Kernel; we discuss what's new and how it will impact the future. Plus, we're joined by a special guest.</p><p>Sponsored By:</p><ul><li><a href="http://tailscale.com/linuxunplugged" rel="nofollow">Tailscale</a>: <a href="http ... Show More
