Salma Mayorquin

data-synthesis ai-optimization foundation-models large-language-models llm-evaluation parameter-efficient-fine-tuning peft lora mlops machine-learning artificial-intelligence model-deployment

Nikunj Bajaj

cost-analysis open-source-llm commercial-llm api-costs llm large-language-models generative-ai rag fine-tuning model-deployment inference-cost python

Muller Mu Christophe Chabbert

enterprise-mlops pipeline-orchestration conway-law api-first modular-architecture mlops machine-learning drug-discovery data-science model-deployment observability

Eric Korman

valor llm rag mlops llm-ops pipelines language-models natural-language-processing data-management model-training model-deployment

Yubo Gao

visual-profiler training-throughput batch-size mixed-precision tensor-cores flash-attention deep-learning machine-learning performance-optimization profiling gpu-utilization pytorch tensorflow model-deployment cost-optimization energy-efficiency

Guy Eshet

llm ai ai-infrastructure llm-ops prompt-engineering model-deployment gpu data-pipelines rag cost-optimization generative-ai llm-applications

Joseph Tenini

machine-learning mlops stakeholder-management communication data-science explainable-ai model-deployment business-intelligence decision-making uncertainty-quantification process-improvement

Debadyuti Roychowdhury Sehyo Chang

mlops machine-learning edge-computing ml-pipelines distributed-systems streaming-architecture rust webassembly data-validation model-deployment observability event-driven-architecture

Nadia Rauch

generative-ai ai machine-learning llm large-language-models nylas automation developer-workflow api-development data-annotation model-deployment python