Jepson Taylor

artificial-intelligence generative-ai machine-learning mlops reinforcement-learning algorithm-design deep-learning llm automation ai-research

Aishwarya Reganti

llm llm-evaluation generative-ai ai-collusion evaluation-metrics machine-learning mlops prompt-engineering large-language-models ai-bias

Sophia Yang

ai mistral-ai large-language-models llm multimodal-models open-source-ai fine-tuning ai-agents function-calling generative-ai mlops developer-relations

Kshetrajna Raghavan

llm multimodal-llm generative-ai machine-learning mlops production-ml shopify product-taxonomy data-modeling computer-vision natural-language-processing image-classification gcp hugging-face ray sky-pilot triton inference

Dre Olgiati

llm large-language-models ai machine-learning mlops training gpu kubernetes python tensorflow pytorch kernels optimization memory-management transformer

Ivan Nardini Holt Skinner

rag gemini vertex-ai generative-ai llm multimodal-ai ai-ml google-cloud embeddings vector-database data-processing python

Nadia Rauch

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

Graham Neubig

ai-agents software-development machine-learning mlops code-generation llm autonomy testing debugging devops github docker

Shreya Rajpal

generative-ai genai ai-infrastructure mlops large-language-models llm ai-safety ai-reliability ai-governance ethical-ai monitoring validation

Vasilis Vagias

ai llm mlops deployment optimization inference compiler pytorch docker gpu api

Jakob Frick

generative-ai ai-impact business-value mlops ml-in-production llm frameworks value-creation ai-products performance-optimization

Chinar Movsisyan

llm generative-ai mlops feedback-intelligence user-feedback data-analysis application-optimization implicit-feedback natural-language-processing ai-development