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Full-duplex, real-time dialogue with Kyutai
Manage episode 453647338 series 2385063
Kyutai, an open science research lab, made headlines over the summer when they released their real-time speech-to-speech AI assistant (beating OpenAI to market with their teased GPT-driven speech-to-speech functionality). Alex from Kyutai joins us in this episode to discuss the research lab, their recent Moshi models, and what might be coming next from the lab. Along the way we discuss small models and the AI ecosystem in France.
Changelog++ members save 10 minutes on this episode because they made the ads disappear. Join today!
Sponsors:
- Fly.io – The home of Changelog.com — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. Check out the speedrun to get started in minutes.
- Timescale – Purpose-built performance for AI Build RAG, search, and AI agents on the cloud and with PostgreSQL and purpose-built extensions for AI: pgvector, pgvectorscale, and pgai.
- WorkOS – AuthKit offers 1,000,000 monthly active users (MAU) free — The world’s best login box, powered by WorkOS + Radix. Learn more and get started at WorkOS.com and AuthKit.com
Featuring:
- Alexandre Défossez – Twitter, GitHub, Website
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? PRs welcome!
챕터
1. Welcome to Practical AI (00:00:00)
2. Sponsor: Fly (00:00:35)
3. What is Kyutai? (00:03:16)
4. French AI ecosystem (00:05:59)
5. Formin a non-profit (00:08:41)
6. Connecting to open science (00:10:31)
7. What makes Kyutai stand out? (00:12:28)
8. Sponsor: Timescale (00:16:26)
9. Moshi's capabilities (00:19:04)
10. History of speech-to-speech models (00:22:58)
11. Cool things to try (00:30:53)
12. Sponsor: WorkOS (00:34:13)
13. Fine tuning data sets (00:37:13)
14. Model sizes (00:42:28)
15. Things to come (00:45:10)
16. Thanks for joining us! (00:48:34)
17. Outro (00:49:16)
302 에피소드
Manage episode 453647338 series 2385063
Kyutai, an open science research lab, made headlines over the summer when they released their real-time speech-to-speech AI assistant (beating OpenAI to market with their teased GPT-driven speech-to-speech functionality). Alex from Kyutai joins us in this episode to discuss the research lab, their recent Moshi models, and what might be coming next from the lab. Along the way we discuss small models and the AI ecosystem in France.
Changelog++ members save 10 minutes on this episode because they made the ads disappear. Join today!
Sponsors:
- Fly.io – The home of Changelog.com — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. Check out the speedrun to get started in minutes.
- Timescale – Purpose-built performance for AI Build RAG, search, and AI agents on the cloud and with PostgreSQL and purpose-built extensions for AI: pgvector, pgvectorscale, and pgai.
- WorkOS – AuthKit offers 1,000,000 monthly active users (MAU) free — The world’s best login box, powered by WorkOS + Radix. Learn more and get started at WorkOS.com and AuthKit.com
Featuring:
- Alexandre Défossez – Twitter, GitHub, Website
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? PRs welcome!
챕터
1. Welcome to Practical AI (00:00:00)
2. Sponsor: Fly (00:00:35)
3. What is Kyutai? (00:03:16)
4. French AI ecosystem (00:05:59)
5. Formin a non-profit (00:08:41)
6. Connecting to open science (00:10:31)
7. What makes Kyutai stand out? (00:12:28)
8. Sponsor: Timescale (00:16:26)
9. Moshi's capabilities (00:19:04)
10. History of speech-to-speech models (00:22:58)
11. Cool things to try (00:30:53)
12. Sponsor: WorkOS (00:34:13)
13. Fine tuning data sets (00:37:13)
14. Model sizes (00:42:28)
15. Things to come (00:45:10)
16. Thanks for joining us! (00:48:34)
17. Outro (00:49:16)
302 에피소드
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