Ensuring Generative AI Reliability with Pythia and Databricks
HTML-код
- Опубликовано: 9 фев 2025
- Join Alin from Wisecube as he demonstrates how 𝐏𝐲𝐭𝐡𝐢𝐚, an advanced AI observability platform, integrates seamlessly with 𝐃𝐚𝐭𝐚𝐛𝐫𝐢𝐜𝐤𝐬 𝐋𝐚𝐤𝐞𝐡𝐨𝐮𝐬𝐞 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 to enhance the reliability of generative AI applications. This webinar comprehensively examines how Pythia ensures accuracy, fairness, and trustworthiness in AI outputs through real-time monitoring and advanced validation tools.
𝐊𝐞𝐲 𝐓𝐨𝐩𝐢𝐜𝐬 𝐂𝐨𝐯𝐞𝐫𝐞𝐝:
✔️ 𝐑𝐞𝐚𝐥-𝐓𝐢𝐦𝐞 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠: Learn how Pythia detects hallucinations, bias, and security vulnerabilities in large language model (LLM) outputs.
✔️ 𝐒𝐭𝐞𝐩-𝐛𝐲-𝐒𝐭𝐞𝐩 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧: Explore how to set up monitoring and alerting pipelines within Databricks, from creating inference tables to generating actionable insights.
✔️ 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐕𝐚𝐥𝐢𝐝𝐚𝐭𝐨𝐫𝐬 𝐟𝐨𝐫 𝐀𝐈 𝐎𝐮𝐭𝐩𝐮𝐭𝐬: Discover Pythia’s tools, including prompt injection detection and factual consistency validation, to ensure secure and relevant AI performance.
✔️ 𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬 𝐚𝐧𝐝 𝐑𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠: See how to build comprehensive dashboards for continuous monitoring and compliance tracking using Databricks Lakehouse Monitoring.
Whether you're an AI practitioner, data scientist, or compliance officer, this session offers actionable insights into building resilient and transparent AI systems.
𝐖𝐚𝐭𝐜𝐡 𝐧𝐨𝐰 𝐭𝐨 𝐟𝐮𝐭𝐮𝐫𝐞-𝐩𝐫𝐨𝐨𝐟 𝐲𝐨𝐮𝐫 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐰𝐢𝐭𝐡 𝐏𝐲𝐭𝐡𝐢𝐚 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚𝐛𝐫𝐢𝐜𝐤𝐬!
𝐆𝐞𝐭 𝐒𝐭𝐚𝐫𝐭𝐞𝐝 𝐓𝐨𝐝𝐚𝐲 ➡️ askpythia.ai/
Don’t forget to like, comment, and subscribe for more insights on AI and data science! Have questions? Drop them in the comments below.
#AI #ArtificialIntelligence #MachineLearning #GenerativeAI #AIObservability #AIMonitoring #AIReliability
🔍 𝐖𝐚𝐧𝐭 𝐭𝐨 𝐬𝐞𝐞 𝐏𝐲𝐭𝐡𝐢𝐚 𝐢𝐧 𝐚𝐜𝐭𝐢𝐨𝐧?
Get 𝐟𝐫𝐞𝐞 𝐝𝐞𝐦𝐨 𝐚𝐜𝐜𝐞𝐬𝐬 now: 👉 askpythia.ai/
See firsthand how Pythia detects hallucinations, bias, and security risks in real-time AI outputs!
Great material! Thank you for the helpful tips!
Thank you for your kind words, @AlexanderVasilyevich7! We're delighted you found the session informative and our tips helpful. Do let us know how it goes when you try the approach. Cheers!
Helpful webinar, thanks! The approach to detecting hallucinations via Knowledge Graph integration is interesting.
Appreciate your feedback! Knowledge graphs are just the beginning-we're exploring even more robust ways to tackle hallucinations in AI. If you're curious, our blog has an in-depth look at emerging techniques: askpythia.ai/blog
Stay tuned for more updates!