MLOps

⚙️ MLOps

model deployment, ML infrastructure, model serving, fine-tuning

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Scoured 8 posts in 7.1 ms

Architecturally Significant MLOps Guidelines for ML Model Integration and Deployment: a Gray Literature Review

 🔗LLM Workflows  Content type: Academic
arxiv.org·

Misaligned AI as a New Insider Risk

 🤖AI Coding  Content type: Academic
arxiv.org·

How Small Can You Go? LoRA Fine-Tuning 270M-8B Models for Merchant Information Extraction in Financial Transactions

 🧠LLMs  Content type: Academic
arxiv.org·

FlexNPU: Transparent NPU Virtualization for Dynamic LLM Prefill-Decode Co-location

 🏞️Data Lakes  Content type: Academic
arxiv.org·

FMplex: Model Virtualization for Serving Extensible Foundation Models

 🎼Data Orchestration  Content type: Academic
arxiv.org·

Still: Amortized KV Cache Compaction in a Single Forward Pass

 🏞️Data Lakes  Content type: Academic
arxiv.org·

When LLMs Invent Rust Crates: An Empirical Study of Hallucination Patterns and Mitigation

 🧠LLMs  Content type: Academic
arxiv.org·

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum

 🎼Data Orchestration  Content type: Academic
arxiv.org·

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