Guy Eshet

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

Matt Squire

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

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

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

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

Gon Rappaport

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

Niels Bantilan

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

Aniket Maurya

lit-serve pytorch-lightning api-serving dynamic-batching genai ai llm python autoscaling rag openai-api docker

Greg Loughnane Chris Alexiuk

react-pattern orchestration-tooling conditional-edges subgraphs langgraph langchain llm-applications agentic-systems multi-agent-systems rag function-calling state-management

Greg Loughnane Chris Alexiuk

llm langchain langgraph agentic-systems multi-agent-systems rag function-calling python ai-engineering llm-applications tool-use state-machines

Jineet Doshi

generative-ai llm llm-ops human-evaluation llm-as-judge security rag agents tool-use

Lee Twito Alon Gubkin

ai generative-ai multi-agent-systems code-generation mlops rag data-modeling llm graphrag abstract-syntax-tree testing