4 papers
FlexiFlow: Bandit-based Model Switching in ML Workflows
Abhilash Jindal, Todd Nief, Bhanu Prakash Vangala +6
Model optimizations help improve inference performance and accuracy of ML workflows. However, relying on a single model to perform inference across all data batches often fails to…
Code That Works, Environments That Don't: Measuring Environment Reproducibility in AI-Generated Software
Bhanu Prakash Vangala, Tanu Malik
Code generation has emerged as a central capability of large language models, with coding agents now able to produce functionally correct software projects from natural language pr…
Efficient Multi-Model Orchestration for Self-Hosted Large Language Models
Bhanu Prakash Vangala, Tanu Malik
Self-hosting large language models (LLMs) is increasingly appealing for organizations seeking privacy, cost control, and customization. Yet deploying and maintaining in-house model…
AI-Generated Code Is Not Reproducible (Yet): An Empirical Study of Dependency Gaps in LLM-Based Coding Agents
Bhanu Prakash Vangala, Ali Adibifar, Ashish Gehani +1
The rise of Large Language Models (LLMs) as coding agents promises to accelerate software development, but their impact on generated code reproducibility remains largely unexplored…