Matt Squire

ray-serve large-language-models llm rag mlops gpu performance-optimization inference scaling python fastapi kubernetes vm vector-database

Alexander Kvamme Arjun Bansal

ai-deployment evaluation-models customer-support genai llm llm-ops prompt-engineering enterprise-ai data-analysis ai-development machine-learning

Shreya Rajpal

ai artificial-intelligence mlops machine-learning-operations reliability ai-engineering llm large-language-models

Jeffrey Kim

auto-ml data-optimization language-models evaluation-data human-in-the-loop benchmark rag retrieval-augmented-generation llm natural-language-processing information-retrieval

Jakob Frick

production-ai genai generative-ai llm large-language-models enterprise-ai continuous-integration ci-cd observability telemetry prompt-engineering testing

Rahm Hafiz Dan Adamson

moderation constitutional-ai privacy security bias-detection data-leakage prompt-injection enterprise-ai retrieval-augmented-generation rag api fine-tuning guardrails large-language-models llm ai-safety generative-ai genai

Maxime Labonne

data-generation model-merging supervise-fine-tuning parameter-efficient-fine-tuning peft dpo llm fine-tuning machine-learning artificial-intelligence lora

Roy Derks Alex Seymour

tool-calling developer-toolkit watsonx-ai ai large-language-models llm rag retrieval-augmented-generation ai-agents prompt-engineering javascript python

Remi Cadene

humanoid-robotics robot-arms diff-models transformers robotics generative-ai deep-learning python open-source ai llm

Gon Rappaport

prompt-injection hallucinations generative-ai genai llm large-language-models mlops production-ml rag ai-security data-governance ai-ethics

Tejas Chopra

model-pruning neural-networks cpu data-quantization machine-learning llm memory-optimization quantization inference deep-learning transformer-models gpu

Niels Bantilan

hyperparameter-optimization pipelines traditional-ml rag llm mlops ai generative-ai inference orchestration data-quality machine-learning