embeddedvisionsummit.com/2025/session/bridging-the-gap-streamlining-the-process-of-mapping-llms-onto-processors

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https://embeddedvisionsummit.com/2025/session/bridging-the-gap-streamlining-the-process-of-mapping-llms-onto-processors

Bridging the Gap: Streamlining the Process of Deploying AI onto Processors - 2025 Summit

Large language models (LLMs) often demand hand-coded conversion scripts for deployment on each distinct processor-specific software stack—a process that’s time-consuming and prone to error. In this session, we introduce a model-agnostic approach designed to streamline LLM deployment, especially for the […]



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Bridging the Gap: Streamlining the Process of Deploying AI onto Processors - 2025 Summit

https://embeddedvisionsummit.com/2025/session/bridging-the-gap-streamlining-the-process-of-mapping-llms-onto-processors

Large language models (LLMs) often demand hand-coded conversion scripts for deployment on each distinct processor-specific software stack—a process that’s time-consuming and prone to error. In this session, we introduce a model-agnostic approach designed to streamline LLM deployment, especially for the […]



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https://embeddedvisionsummit.com/2025/session/bridging-the-gap-streamlining-the-process-of-mapping-llms-onto-processors

Bridging the Gap: Streamlining the Process of Deploying AI onto Processors - 2025 Summit

Large language models (LLMs) often demand hand-coded conversion scripts for deployment on each distinct processor-specific software stack—a process that’s time-consuming and prone to error. In this session, we introduce a model-agnostic approach designed to streamline LLM deployment, especially for the […]

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      Large language models (LLMs) often demand hand-coded conversion scripts for deployment on each distinct processor-specific software stack—a process that’s time-consuming and prone to error. In this session, we introduce a model-agnostic approach designed to streamline LLM deployment, especially for the […]
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