Episode

I LLM and You Can Too

Podcast
Data Skeptic
Published
Dec 23, 2023
Duration seconds
1432
Processing state
failed
Canonical source
https://dataskeptic.com/blog/episodes/2023/i-llm-and-you-can-too
Audio
https://pscrb.fm/rss/p/mgln.ai/e/35/traffic.libsyn.com/secure/dataskeptic/i-llm-and-you-can-too.mp3?dest-id=201630
JSON
/v1/public/podcasts/data-skeptic/episodes/i-llm-and-you-can-too
Markdown
/podcast/data-skeptic/i-llm-and-you-can-too.md

Actions

  • POST https://stenobird.com/v1/public/podcasts/data-skeptic/episodes/i-llm-and-you-can-too/transcription-requests
    Idempotently request low-priority transcript generation for this episode.
  • GET https://stenobird.com/podcast/data-skeptic/i-llm-and-you-can-too.md
    Read the agent-friendly Markdown representation of this episode resource.

Summary

It took a massive financial investment for the first large language models (LLMs) to be created. Did their corporate backers lock these tools away for all but the richest? No. They provided comodity priced API options for using them. Anyone can talk to Chat GPT or Bing. What if you want to go a step beyond that and do something programatic? Kyle explores your options in this episode.