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A developer's toolkit for SOTA AI
Manage episode 371174443 series 2385063
Chris sat down with Varun Mohan and Anshul Ramachandran, CEO / Cofounder and Lead of Enterprise and Partnership at Codeium, respectively. They discussed how to streamline and enable modern development in generative AI and large language models (LLMs). Their new tool, Codeium, was born out of the insights they gleaned from their work in GPU software and solutions development, particularly with respect to generative AI, large language models, and supporting infrastructure. Codeium is a free AI-powered toolkit for developers, with in-house models and infrastructure - not another API wrapper.
Changelog++ members save 1 minute on this episode because they made the ads disappear. Join today!
Sponsors:
- Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com
- Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs.
- Typesense – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster!
Featuring:
Show Notes:
Something missing or broken? PRs welcome!
챕터
1. Welcome to Practical AI (00:00:00)
2. Hello Codeium (00:00:43)
3. Varun's background (00:01:31)
4. Anshul's background (00:03:21)
5. Codeium's reason (00:04:59)
6. Increasing GPU demands (00:07:26)
7. Landing on the wave (00:10:10)
8. Riding the wave (00:11:01)
9. Codeium and Copilot (00:13:45)
10. From help to Codeium (00:15:59)
11. What made Codeium stand out? (00:17:35)
12. How Codeium delivers a better UX (00:20:30)
13. Privacy concerns (00:23:54)
14. The practicality of Codeium (00:27:56)
15. What users do (00:31:13)
16. Where generative AI is headed (00:35:56)
17. Goodbye (00:40:52)
18. Outro (00:41:15)
333 에피소드
Manage episode 371174443 series 2385063
Chris sat down with Varun Mohan and Anshul Ramachandran, CEO / Cofounder and Lead of Enterprise and Partnership at Codeium, respectively. They discussed how to streamline and enable modern development in generative AI and large language models (LLMs). Their new tool, Codeium, was born out of the insights they gleaned from their work in GPU software and solutions development, particularly with respect to generative AI, large language models, and supporting infrastructure. Codeium is a free AI-powered toolkit for developers, with in-house models and infrastructure - not another API wrapper.
Changelog++ members save 1 minute on this episode because they made the ads disappear. Join today!
Sponsors:
- Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com
- Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs.
- Typesense – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster!
Featuring:
Show Notes:
Something missing or broken? PRs welcome!
챕터
1. Welcome to Practical AI (00:00:00)
2. Hello Codeium (00:00:43)
3. Varun's background (00:01:31)
4. Anshul's background (00:03:21)
5. Codeium's reason (00:04:59)
6. Increasing GPU demands (00:07:26)
7. Landing on the wave (00:10:10)
8. Riding the wave (00:11:01)
9. Codeium and Copilot (00:13:45)
10. From help to Codeium (00:15:59)
11. What made Codeium stand out? (00:17:35)
12. How Codeium delivers a better UX (00:20:30)
13. Privacy concerns (00:23:54)
14. The practicality of Codeium (00:27:56)
15. What users do (00:31:13)
16. Where generative AI is headed (00:35:56)
17. Goodbye (00:40:52)
18. Outro (00:41:15)
333 에피소드
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