🚀 MLOps - hello · Scour

Navigating LLM Valley: From AdamW to Memory-Efficient and Matrix-Based Optimizers 🤖TVM

Exploring CoCo Challenges in ML Engineering Teams: Insights From the Semiconductor Industry ⚓Anchors

From Code to Prediction: Fine-Tuning LLMs for Neural Network Performance Classification in NNGPT 🤖TVM

Deployment-Relevant Alignment Cannot Be Inferred from Model-Level Evaluation Alone 🌳Tree-sitter

Towards Annotation-Free Validation of MLLMs: A Vision-Language Logical Consistency Metric 🤖TVM

SecureMCP: A Policy-Enforced LLM Data Access Framework for AIoT Systems via Model Context Protocol 🦙Ollama

From Parameter Dynamics to Risk Scoring : Quantifying Sample-Level Safety Degradation in LLM Fine-tuning 🦙Ollama

From Data Lifting to Continuous Risk Estimation: A Process-Aware Pipeline for Predictive Monitoring of Clinical Pathways 🧠Machine Learning

AutoRAGTuner: A Declarative Framework for Automatic Optimization of RAG Pipelines 📊Performance Tools

OracleProto: A Reproducible Framework for Benchmarking LLM Native Forecasting via Knowledge Cutoff and Temporal Masking 🦙Ollama

Stabilizing LLM Supervised Fine-Tuning via Explicit Distributional Control 🦙Ollama

Measuring Evaluation-Context Divergence in Open-Weight LLMs: A Paired-Prompt Protocol with Pilot Evidence of Alignment-Pipeline-Specific Heterogeneity 💬Prompt Engineering

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