Here’s how I’m approaching multidimensional evaluation, delayed feedback, and adaptive rewards:
bit.ly/47eKKbt
Here’s how I’m approaching multidimensional evaluation, delayed feedback, and adaptive rewards:
bit.ly/47eKKbt
Selector design for LLM systems.
Covers:
– Embedding-based retrieval
– Bandits (Thompson Sampling)
– Diversity-aware content
– Cold start solutions
– How we track what’s working right now
blog.alexmlewis.com/building-the...
Selector design for LLM systems.
Covers:
– Embedding-based retrieval
– Bandits (Thompson Sampling)
– Diversity-aware content
– Cold start solutions
– How we track what’s working right now
blog.alexmlewis.com/building-the...
I wrote about how they break down in production and how probabilistic prompt selection keeps systems fresh, adaptive, and improving over time.
blog.alexmlewis.com/why-static-p...
I wrote about how they break down in production and how probabilistic prompt selection keeps systems fresh, adaptive, and improving over time.
blog.alexmlewis.com/why-static-p...
The trick? A simple markdown checklist that acts as "external memory" for the AI. Cut my sessions from 18 to 7 and reduced bugs by 70%.
Turns out structure beats cleverness.
bit.ly/4jWWB0U
The trick? A simple markdown checklist that acts as "external memory" for the AI. Cut my sessions from 18 to 7 and reduced bugs by 70%.
Turns out structure beats cleverness.
bit.ly/4jWWB0U
Now, I’ve automated the fear away:
🎤 Krisp for transcription
⚙️ Zapier to connect it all
📁 Google Drive for storage
📝 Notion to stay organized
Here’s how: bit.ly/42048qy
How do you handle meeting notes? Always open to ideas!
Now, I’ve automated the fear away:
🎤 Krisp for transcription
⚙️ Zapier to connect it all
📁 Google Drive for storage
📝 Notion to stay organized
Here’s how: bit.ly/42048qy
How do you handle meeting notes? Always open to ideas!