Webinar
How Safe Is Safe Enough? Red-Teaming and Risk Evaluation for LLMs
As AI technology moves beyond the proof-of-concept stage, it’s time to dig deeper into its power and limitations. Whether you're a model builder, app developer, or part of the AI community, this session will equip you with a clear, risk-based approach to identifying and addressing concerns about model safety and bias.
Webinar
How Safe Is Safe Enough? Red-Teaming and Risk Evaluation for LLMs
As AI technology moves beyond the proof-of-concept stage, it’s time to dig deeper into its power and limitations. Whether you're a model builder, app developer, or part of the AI community, this session will equip you with a clear, risk-based approach to identifying and addressing concerns about model safety and bias.
Webinar
How Safe Is Safe Enough? Red-Teaming and Risk Evaluation for LLMs
As AI technology moves beyond the proof-of-concept stage, it’s time to dig deeper into its power and limitations. Whether you're a model builder, app developer, or part of the AI community, this session will equip you with a clear, risk-based approach to identifying and addressing concerns about model safety and bias.
Webinar
How Safe Is Safe Enough? Red-Teaming and Risk Evaluation for LLMs
As AI technology moves beyond the proof-of-concept stage, it’s time to dig deeper into its power and limitations. Whether you're a model builder, app developer, or part of the AI community, this session will equip you with a clear, risk-based approach to identifying and addressing concerns about model safety and bias.
How Safe Is Safe Enough? Red-Teaming and Risk Evaluation for LLMs
Where:
Online
Date:
Nov 6, 2024
17:00 CET
Overview
In this session, we will guide you through evaluating the safety and biases of GenAI models. Whether you're a model builder, app developer, or industry regulator, this session will equip you with a clear, risk-based approach to identifying and addressing key safety concerns.. Here's what you can expect:
Participants
Ilya Kochik
VP of Business Development
Alexander Borodetskiy
VP of AI Safety at Toloka AI
Recording
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