DataOps Labs India

Topic: Large Language Model Evaluation

Description: This presentation aims to provide a comprehensive overview of evaluating large language models (LLMs), which are becoming increasingly prevalent in various applications, such as natural language processing, text generation, and question-answering systems. It will cover the importance of evaluating LLMs, the challenges involved, and the different approaches and metrics used for evaluation.

Agenda:

1. The Importance of LLM Evaluation
2. Challenges in LLM Evaluation
3. Evaluation Approaches and Metrics
4. Case Studies and Real-World Examples

Topic: AWS BEDROCK - Large Language Model Guardrails.

Description: In today's digital landscape, the responsible use of generative AI is paramount. AWS Bedrock Guardrails offer a comprehensive solution to ensure the safety and integrity of AI applications. From blocking inappropriate content to redacting sensitive information and filtering harmful content, Guardrails provide customizable layers of protection tailored to individual use cases and responsible AI policies. Join us for a deep dive into AWS Bedrock Guardrails, where we'll explore how these features work, their real-world applications, and how they can help organizations maintain AI safety standards across various scenarios.

Agenda:

1. Introduction to AWS Bedrock Guardrails and their significance in generative AI safety.
2. Custom word filters and sensitive information detection for content appropriateness and privacy.
3. Configurable thresholds for filtering harmful content and promoting responsible AI.
4. Blocking undesirable topics to maintain relevance and safety within AI applications.
5. Practical guidance on configuring and integrating Guardrails for Amazon Bedrock to ensure AI safety and compliance.