logo
episode-header-image
Nov 2023
1h 3m

SE Radio 588: José Valim on Elixir, Mach...

se-radio@computer.org
About this episode

José Valim, creator of the Elixir programming language, Chief Adoption Officer at Dashbit, and author of three programming books, speaks with SE Radio host Gavin Henry about what Elixir is today, what Livebook is, the five spearheads of the new machine learning ecosystem for Elixir, and how they all fit together. Valim describes why he created Elixir, what “the beam” is, and how he pitches it to new users. This episode examines things you can do with Livebook and how it is well-aligned with machine learning, as well as why immutability is important and how it works. They take a detailed look at a range of topics, including tensors with Nx, traditional machine learning with Scholar, data munging with Explorer, deep learning and neural networks with Axon, Bumblebee and Huggingface, and model creation basics. Brought to you by IEEE Computer Society and IEEE Software magazine.

Up next
Jul 1
SE Radio 675: Brian Demers on Observability into the Toolchain
Brian Demers, Developer Advocate at Gradle, speaks with host Giovanni Asproni about the importance of having observability in the toolchain. Such information about build times, compiler warnings, test executions, and any other system used to build the production code can help to ... Show More
47m 41s
Jun 25
SE Radio 674: Vilhelm von Ehrenheim on Autonomous Testing
Vilhelm von Ehrenheim, co-founder and chief AI officer of QA.tech, speaks with SE Radio's Brijesh Ammanath about autonomous testing. The discussion starts by covering the fundamentals, and how testing has evolved from manual to automated to now autonomous. Vilhelm then deep dives ... Show More
49m 49s
Jun 18
SE Radio 673: Abhinav Kimothi on Retrieval-Augmented Generation
In this episode of Software Engineering Radio, Abhinav Kimothi sits down with host Priyanka Raghavan to explore retrieval-augmented generation (RAG), drawing insights from Abhinav's book, A Simple Guide to Retrieval-Augmented Generation. The conversation begins with an introducti ... Show More
55m 55s
Recommended Episodes
May 2023
TinyML: Bringing machine learning to the edge
When we think about machine learning today we often think in terms of immense scale — large language models that require huge amounts of computational power, for example. But one of the most interesting innovations in machine learning right now is actually happening on a really s ... Show More
45m 45s
Feb 2017
MLG 001 Introduction
Show notes: ocdevel.com/mlg/1. MLG teaches the fundamentals of machine learning and artificial intelligence. It covers intuition, models, math, languages, frameworks, etc. Where your other ML resources provide the trees, I provide the forest. Consider MLG your syllabus, with high ... Show More
8m 11s
Jul 2017
14: Artificial Thought (Neural Networks)
Go to www.brilliant.org/breakingmathpodcast to learn neural networks, everyday physics, computer science fundamentals, the joy of problem solving, and many related topics in science, technology, engineering, and math.  Mathematics takes inspiration from all forms with which life ... Show More
1h 5m
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 2s
Aug 2024
AI in Action: From Machine Learning Interpretability to Cybersecurity with Serg Masís and Nirmal Budhathoki
In this DSS Podcast, Anna Anisin welcomes Serg Masís, Climate and Agronomic Data Scientist at Syngenta. Serg, an expert in machine learning interpretability and responsible AI, shares his diverse background and journey into data science. He discusses the challenges of building fa ... Show More
25m 37s
Dec 2024
Harvard Releases AI Training Dataset, Google Releases Gemini 2.0, and Two New Types of Infinity
We're experimenting and would love to hear from you!In today's episode of Discover Daily, we begin with a development for artificial intelligence research. Harvard University has unveiled a comprehensive AI training dataset, marking a significant step forward in democrat ... Show More
10m 21s
Jan 2025
Erik Bernhardsson on Creating Tools That Make AI Feel Effortless
Today on No Priors, Elad chats with Erik Bernhardsson, founder and CEO of Modal Labs, a platform simplifying ML workflows by providing a serverless infrastructure designed to streamline deployment, scaling, and development for AI engineers. Erik talks about his early work on Spot ... Show More
23m 36s
Feb 2017
MLG 002 What is AI, ML, DS
Links: Notes and resources at ocdevel.com/mlg/2 Try a walking desk stay healthy & sharp while you learn & code Try Descript audio/video editing with AI power-tools What is artificial intelligence, machine learning, and data science? What are their differences? AI history. Hierarc ... Show More
1h 5m
Feb 2025
Accelerating AI Training and Inference with AWS Trainium2 with Ron Diamant - #720
Today, we're joined by Ron Diamant, chief architect for Trainium at Amazon Web Services, to discuss hardware acceleration for generative AI and the design and role of the recently released Trainium2 chip. We explore the architectural differences between Trainium and GPUs, highlig ... Show More
1h 7m
Dec 2024
Best of 2024: The Art of Prompt Engineering with Alex Banks, Founder and Educator, Sunday Signal
As we look back at 2024, we're highlighting some of our favourite episodes of the year, and with 100 of them to choose from, it wasn't easy!The four guests we'll be recapping with are:Lea Pica - A celebrity in the data storytelling and visualisation space. Richie and Lea cover th ... Show More
44m 58s