🔍 Monitoring with WhyLabs 🔎 As more LLM apps go into production, logging and observability will only become more and more important. WhyLabs is a powerful monitoring platform, now integrated with 🦜🔗 thanks to jamie256's work. Docs: python.langchain.com/en/latest/inte…

🚀🚀🚀It's time to make your #LLM applications safe and responsible! WhyLabs' most powerful LLM monitoring solution is now integration into the most powerful LLM app building library LangChain! #HallucinateResponsibly #LLMs #ResponsibleAI

WhyLabs Language Toolkit is here to help you achieve #Safe #LLM apps in just a few lines of code via the awesome LangChain integration! Thanks to Harrison Chase & LangChain team for making #LLM app building simple & extensible! whylabs.ai/blog/posts/get…

Data misbehavior got you down? 📉 Incomplete, incorrect, or low-quality data can be detrimental to businesses. Felipe Adachi wrote a quick tutorial on data validation at scale and how to detect and respond to those pesky data issues: bit.ly/3J1vnXo #DataScience #ODSC

“I don’t understand how it can lead to human extinction.” 💡Andrew Ng shares his thoughts on #AI being a risk for human extinction in the video below, or check out his letter in The Batch to learn more: bit.ly/43O3ZnH #DataScience #ResponsibleAI

WhyLabs launches LangKit to make large language models safe and responsible venturebeat.com/ai/whylabs-lau…

Join us TODAY at 10:00 am PST for a hands-on workshop on getting started with monitoring #ML models and data in production! Click the link to join the live stream👇 bit.ly/463wjEs #MLMonitoring #DataScience

🔥Today we officially launched LangKit, the observability and safety standard for #LLMs! 🔥 Read the article in VentureBeat to learn more: bit.ly/42GzFdu Check out the notebook to get started with LangKit: bit.ly/langkit--noteb…

Calling all developers and data scientists! 🚀🚀🚀🚀🚀 🔥🔥🔥 Discover WhyLabs' game-changing tool, Langkit, designed to make LLMs safer and more responsible venturebeat.com/ai/whylabs-lau… #AI #ResponsibleAI #Langkit

WhyLabs has been named one of the most innovative AI companies on CB Insights' 2023 #AI100 List! 🏆 Being recognized as a leading #AI company is a testament to our team's hard work and dedication to building #ResponsibleAI! bit.ly/42NxapT

Databricks + WhyLabs =⚡ Compute all key telemetry data necessary for #AI monitoring directly in Apache Spark and monitor data quality at lightning speed - 1M rows per second! Learn more about the game-changing integration in the blog post: bit.ly/3pnwDNK #Databricks

Join our upcoming hands-on workshop with Sage Elliott to learn how to evaluate, troubleshoot, and monitor #LLMs more effectively! 🗓️ July 19 | 10:00 PDT Register now: bit.ly/46Kb9M6 #ResponsibleAI #DataScience

🔎Join our Intro to #MLMonitoring Workshop to learn how to ensure model reliability and performance and implement your own #AIObservability solution from start to finish! 📅 Date: Aug 2 ⏰ Time: 10:00 am PDT 🎟️ Register now: bit.ly/3JMt3Um

Sage Elliott will be joined by Joe Heitzeberg, Co-founder & CEO of Blueprint AI on the R2AI podcast to talk about putting #LLMs in production and lessons learned along the way! 🎟️ Register now to attend live or receive a copy of the recording: bit.ly/3DpS8RL #ResponsibleAI

❌ How do you avoid toxicity & sensitive content in your #LLM? In this blog post, we build a simple pipeline to validate & moderate user prompts & responses to explore 3 key aspects - ✅content moderation, ✅message auditing & ✅monitoring/observability. bit.ly/3pJfuhM

Don’t miss our Intro to #AI Observability workshop next month with Sage Elliott to learn how to implement #AIObservability into your own pipelines (#Kafka, #Airflow, #Flyte, etc.) ⏰ Sept 13 | 10:00 am PDT Register now: bit.ly/3s1tKTN #ML #MLOps

Read how Glassdoor leveraged whylogs to enhance their salary estimate model with real-time #MLMonitoring - improving performance, ensuring data quality & minimizing the need for manual analysis! Check out the blog post to learn more: bit.ly/3RuoqTV #ML #DataScience

WhyLabs and Amazon Web Services collaborated to explore the ways embeddings are used in #MachineLearning, issues that can impact your #ML models, how to use WhyLabs to identify those issues and set up monitors to prevent them in the future! Read the blog post: bit.ly/3Z4uDHI

🔥 Get cozy by the virtual fireside Bernease Herman will be joining Sage Elliott on the Union_ai fireside chat to talk about all things monitoring and evaluating #LLMs in production! RSVP to attend live, ask questions, and connect with the community! bit.ly/48l9Cf2

Heard of NVIDIA NIM yet? Any GenAI model deployed to prod on secure and optimal infrastructure! WhyLabs seamlessly integrates with NVIDIA NIM to enable tracing and guardrails. Check out Andy Dang's write up on how to get started! whylabs.ai/blog/posts/why…