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My Weird Prompts

Podkast av Daniel Rosehill

engelsk

Teknologi og vitenskap

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Les mer My Weird Prompts

The human-AI collaboration podcast. A man, a sloth, and a donkey collaborate to create a podcast (with a little help from AI). No question is too obscure, no rabbit hole too deep. My Weird Prompts celebrates curiosity in all its forms. Daniel, the human, asks the questions that pop into his head at inconvenient moments. Corn the Sloth offers laid-back, thoughtful takes. Herman the Donkey brings boundless enthusiasm and energy. Together, they explore topics ranging from the mundane to the mind-bending. Each episode begins with a real voice memo from Daniel, processed through an AI pipeline that generates scripts, synthesizes voices, and assembles the final podcast. Stay curious.

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300 Episoder

episode Embedding Models vs LLMs: What Actually Connects? cover

Embedding Models vs LLMs: What Actually Connects?

Daniel asks two sharp questions about RAG pipelines: does your embedding model constrain which LLM you can use, and why are new embedding models still releasing if embeddings feel like a solved problem? We break down the architectural decoupling between embedding models and LLMs — they're different neural networks trained for different objectives, and any embedding works with any LLM. But that clean answer makes the second question more urgent: the real innovation in embedding models isn't about general benchmarks — it's about fixing specific failure modes like domain specialization, multilingual alignment, and silent drift that only show up at scale. We also unpack the "silent drift" problem where an auto-embedding model upgrade can quietly break retrieval without anyone noticing until support tickets spike.

I går - 27 min
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