In this video, I dive into IBM's newly released Granite Speech 4.1 models and explore what makes them interesting — particularly the three 2B variants they've dropped and how each one makes a different trade-off between accuracy, richness, and throughput that you'll actually care about for real applications.
🔗 Links:
IBM Research Blog → https://research.ibm.com/blog/granite-4-1-ai-foundation-models
Twitter: https://x.com/Sam_Witteveen
🕵️ Interested in building LLM Agents? Fill out the form below
Building LLM Agents Form: https://drp.li/dIMes
👨💻Github:
https://github.com/samwit/llm-tutorials
⏱️Time Stamps:
00:00 Intro
00:20 IBM Granite Collection
00:27 Granite Docling
00:46 Granite Speech 4.1
01:16 Granite 4.1 Blog
01:38 Granite Speech 4.1 2B
04:02 Granite Speech 4.1 2B Plus
06:15 Granite Speech 4.1 2B NAR
07:30 NLE: Non-autoregressive LLM-based ASR by Transcript Editing Paper
07:45 Architecture
09:45 Code Time
12:00 Granite Speech Model Github
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