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_dng's write up on how to get started!
https://t.co/TfgnZURTfd
🔥 Get cozy by the virtual fireside
@bernease will be joining @sagecodes 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!
https://t.co/leKBXW0Cxv
WhyLabs and @awscloud 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: https://t.co/q1abm1VkIE
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: https://t.co/K4YkvnqqQn
#ML#DataScience
Don’t miss our Intro to #AI Observability workshop next month with @sagecodes to learn how to implement #AIObservability into your own pipelines (#Kafka, #Airflow, #Flyte, etc.)
⏰ Sept 13 | 10:00 am PDT
Register now: https://t.co/Ij3mKgnlpG
#ML#MLOps
❌ 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.
https://t.co/IXeEzxVeRA
@sagecodes will be joined by @jheitzeb, 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: https://t.co/1sWNpTbU9S
#ResponsibleAI
🔎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: https://t.co/TQyYmdWxRi
Join our upcoming hands-on workshop with @sagecodes to learn how to evaluate, troubleshoot, and monitor #LLMs more effectively!
🗓️ July 19 | 10:00 PDT
Register now: https://t.co/8ZXPXNPWYz
#ResponsibleAI#DataScience
@Databricks + WhyLabs =⚡
Compute all key telemetry data necessary for #AI monitoring directly in @ApacheSpark and monitor data quality at lightning speed - 1M rows per second!
Learn more about the game-changing integration in the blog post: https://t.co/WhAGqEWnXN
#Databricks
WhyLabs has been named one of the most innovative AI companies on @CBinsights' 2023 #AI100 List! 🏆
Being recognized as a leading #AI company is a testament to our team's hard work and dedication to building #ResponsibleAI!
https://t.co/iWuNqHqXgy
Calling all developers and data scientists! 🚀🚀🚀🚀🚀
🔥🔥🔥 Discover WhyLabs' game-changing tool, Langkit, designed to make LLMs safer and more responsible https://t.co/qgiDfoYQe3 #AI#ResponsibleAI#Langkit
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👇
https://t.co/3VmN4M0DBz
#MLMonitoring#DataScience
🔥Today we officially launched LangKit, the observability and safety standard for #LLMs! 🔥
Read the article in @VentureBeat to learn more: https://t.co/j4ibMMC8OI
Check out the notebook to get started with LangKit: https://t.co/DKhxgc5pNK
“I don’t understand how it can lead to human extinction.”
💡@AndrewYNg 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: https://t.co/zxCA9W53SE
#DataScience#ResponsibleAI
Data misbehavior got you down? 📉
Incomplete, incorrect, or low-quality data can be detrimental to businesses.
@felipeadachi wrote a quick tutorial on data validation at scale and how to detect and respond to those pesky data issues: https://t.co/DKKUGJECLe
#DataScience#ODSC