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!
whylabs.ai/blog/posts/whylabโฆ
๐ฅ 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!
bit.ly/48l9Cf2
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: bit.ly/3Z4uDHI
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
โ 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 - โ content moderation, โ message auditing & โ monitoring/observability.
bit.ly/3pJfuhM
@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!
๐๏ธ Register now to attend live or receive a copy of the recording: bit.ly/3DpS8RL#ResponsibleAI
๐Join our Intro to #MLMonitoring Workshop to learn how to ensure model reliability and performance and implement your own #AIObservability solution from start to finish!
๐ Date: Aug 2
โฐ Time: 10:00 am PDT
๐๏ธ Register now: bit.ly/3JMt3Um
@Databricks WhyLabs =โก
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: bit.ly/3pnwDNK#Databricks
WhyLabs has been named one of the most innovative AI companies on @CBinsights' 2023 #AI100 List! ๐
Being recognized as a leading #AI company is a testament to our team's hard work and dedication to building #ResponsibleAI!
bit.ly/42NxapT
Calling all developers and data scientists! ๐๐๐๐๐
๐ฅ๐ฅ๐ฅ Discover WhyLabs' game-changing tool, Langkit, designed to make LLMs safer and more responsible venturebeat.com/ai/whylabs-lโฆ#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 stream๐
bit.ly/463wjEs#MLMonitoring#DataScience
๐ฅToday we officially launched LangKit, the observability and safety standard for #LLMs! ๐ฅ
Read the article in @VentureBeat to learn more: bit.ly/42GzFdu
Check out the notebook to get started with LangKit: bit.ly/langkit--notebook
โI donโt understand how it can lead to human extinction.โ
๐ก@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: bit.ly/43O3ZnH#DataScience#ResponsibleAI
I'd like to have a real conversation about whether AI is a risk for human extinction. Honestly, I don't get how AI poses this risk.
What are your thoughts? And, who do you think has a thoughtful perspective on how AI poses this risk that I should talk to?
Data misbehavior got you down? ๐
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: bit.ly/3J1vnXo#DataScience#ODSC
๐ Monitoring with @WhyLabs ๐
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 ๐ฆ๐ thanks to jamie256's work.
Docs: python.langchain.com/en/lateโฆ
๐ Monitoring with @WhyLabs ๐
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 ๐ฆ๐ thanks to jamie256's work.
Docs: python.langchain.com/en/lateโฆ