Changelog Master Feed
Podcast autorstwa Changelog Media
Kategorie:
2150 Odcinki
-
CSS Color Party 🎉 (JS Party #273)
Opublikowany: 28.04.2023 -
Diversity at conferences (Go Time #274)
Opublikowany: 27.04.2023 -
Hard drive reliability at scale (Changelog Interviews #537)
Opublikowany: 26.04.2023 -
Causal inference (Practical AI #220)
Opublikowany: 25.04.2023 -
Dataset wars, Bark, Kent Beck needs to recalibrate, StableLM & blind prompting is not prompt engineering (Changelog News #41)
Opublikowany: 24.04.2023 -
Making "safe npm" (JS Party #272)
Opublikowany: 21.04.2023 -
Builder journey to streaming data platform (Founders Talk #95)
Opublikowany: 20.04.2023 -
Capabilities of LLMs 🤯 (Practical AI #219)
Opublikowany: 19.04.2023 -
How do you do, fellow Hack Clubbers? (Changelog Interviews #536)
Opublikowany: 19.04.2023 -
Free Dolly, GitHub Accelerator's cohort, improving Tailscale via Apple’s open source & what the heck are passkeys?! (Changelog News #40)
Opublikowany: 17.04.2023 -
I'd like to add you to my professional network (JS Party #271)
Opublikowany: 14.04.2023 -
Examining capitalism's chokepoints (Changelog Interviews #535)
Opublikowany: 14.04.2023 -
Domain-driven design with Go (Go Time #273)
Opublikowany: 13.04.2023 -
Computer scientists as rogue art historians (Practical AI #218)
Opublikowany: 12.04.2023 -
Ken Thompson's keynote, Tabby, The LLama Effect, Codeberg & facing the inevitable (Changelog News #39)
Opublikowany: 10.04.2023 -
LLMs break the internet (Changelog Interviews #534)
Opublikowany: 7.04.2023 -
Nick & KBall's "Coffee Talk" (JS Party #270)
Opublikowany: 7.04.2023 -
The biggest job interview of GPT-4's life (Go Time #272)
Opublikowany: 6.04.2023 -
Accelerated data science with a Kaggle grandmaster (Practical AI #217)
Opublikowany: 4.04.2023 -
Twitter's open algorithm, Auto-GPT, LLMs as "calculators for words", SudoLang & stochastic parrots (Changelog News #38)
Opublikowany: 3.04.2023
Your one-stop shop for all Changelog podcasts. Weekly shows about software development, developer culture, open source, building startups, artificial intelligence, shipping code to production, and the people involved. Yes, we focus on the people. Everything else is an implementation detail.