Все публикации

0:28:03

Current state-of-the-art on LLM Prompt Injections and Jailbreaks

0:31:48

Finding the Right Datasets and Metrics for Evaluating LLM Performance

0:54:49

Monitoring Distributed ML Systems at Massive Scale with Spark & Databricks

0:39:13

Safety in LLMs Using Chain-of-Thought: Lessons From Constitutional AI

1:03:22

LLM Security and Control With Hugging Face and WhyLabs

1:02:12

Securing and Controlling LLM Applications With LangChain and WhyLabs

0:01:39

WhyLabs AI Control Center

0:56:54

WhyLabs AI Control Center: Demo and Q&A

1:05:01

Reacting in Real-Time: Guardrails and Active Monitoring for LLMs

1:02:21

Monitoring LLMs in Production using LangChain and WhyLabs

1:03:06

Mitigating LLM Risk in Insurance: Chatbots and Data Collection

0:57:38

Preventing Threats to LLMs: Detecting Prompt Injections & Jailbreak Attacks

1:01:08

Decode, Detect, Diagnose Your LLM: Troubleshooting User Behavior Changes & Performance Drift

1:06:38

Monitoring LLMs in Production using LangChain and WhyLabs

1:04:16

From Eyeballing to Excellence: 7 Ways to Evaluate & Monitor LLM Performance

1:09:12

Monitoring LLMs in Production with Hugging Face and WhyLabs

0:57:43

Intro to LLM Security - OWASP Top 10 for Large Language Models (LLMs)

1:15:25

Intro to LLM Security - OWASP Top 10 for Large Language Models (LLMs)

1:15:30

Create and Monitor LLM Summarization Apps using OpenAI and WhyLabs

1:33:47

Intro to ML Monitoring: Data Drift, Quality, Bias and Explainability

1:14:24

Intro to LLM Monitoring in Production with LangKit & WhyLabs

0:41:34

Monitoring AI Models for Bias & Fairness with Segmentation

1:18:03

Monitoring LLMs in Production using OpenAI, LangChain & WhyLabs

1:19:11

Intro to AI Observability: Monitoring ML Models & Data in Production