Making artificial intelligence practical, productive, and accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, etc). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!
The new AI app stack
Recently a16z released a diagram showing the “Emerging Architectures for LLM Applications.” In this episode, we expand on things covered in that diagram to a more general mental model for the new AI app stack. We cover a variety of things from model “middleware” for caching and control to app orchestration.
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Featuring:
Show Notes:
Emerging Architectures for LLM Applications
Something missing or broken? PRs welcome!
Timestamps:
(00:07) - Welcome to Practical AI
(00:43) - Deep dive into LLMs
(02:25) - Emerging LLM app stack
(04:35) - Playgrounds
(08:07) - App Hosting
(10:46) - Stack orchestration
(15:50) - Maintenance breakdown
(19:08) - Sponsor: Changelog News
(20:43) - Vector databases
(22:36) - Embedding models
(24:27) - Benchmarks and measurements
(26:59) - Data & poor architecture
(29:42) - LLM logging
(33:01) - Middleware Caching
(37:32) - Validation
(40:53) - Key takeaways
(42:36) - Closing thoughts
(44:23) - Outro