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

Zunair Waseem

llm ai feedback-loop user-feedback mlops generative-ai conversational-ai product-improvement prompt-engineering python

Niklas Nielsen

ai generative-ai llm mlops subject-matter-expert auto-feedback latent-space-readout model-evaluation prompt-tuning fine-tuning

Stefan Krawczyk Hugo Bowne-Anderson

generative-ai genai ai-development llm large-language-models prompt-engineering rag retrieval-augmented-generation python application-development mlops

Ravi Chandu Ummadisetti Stephen Ellis Kordel France Eric Swei

generative-ai ai llm rag data-ingestion mlops automotive manufacturing llm-ops agentic-framework knowledge-management prompt-engineering

Jason Mancuso Mike Gardner

large-language-models llm chatgpt data-privacy data-security confidential-computing secure-enclaves attestation pii-removal named-entity-recognition python machine-learning

Tuana Celik

llm agents nlp haystack python generative-ai prompt-engineering rag retrieval-augmented-generation developer-advocacy

Scott Werner

ruby llm generative-ai postells-law postells-principle duck-typing metaprogramming dynamic-dispatch reflection test-driven-development tdd rag few-shot-prompting code-generation ruby-on-rails

Shunsuke Mori

ruby llm type-inference rbs static-analysis type-checking developer-tooling code-generation ai machine-learning programming-languages developer-productivity