Sam Gracie

In Vegas for #reInvent2023? ☕🗓️ Grab coffee with @zalessya, @mariakar, @RobbyP87 & @andy_dng: bit.ly/46E5qpI 🤝🍻 Join us at the #ResponsibleAI reception Wednesday to talk about responsible #GenerativeAI adoption, best practices & more: bit.ly/3QM25z3

As part of our LangKit release, we gathered feedback from our community members and supporters, including users, partners, and thought leaders in the #AI and #ML space. Check out what @AndrewYNg had to say💡 #DataScience #LLMs #LLM

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! bit.ly/42NxapT

🧰 This week's Tool of the Week is @WhyLabs, which was founded in 2019 by @zalessya, @andy_dng, @mariakar and @samgracie created at a fundamental AI research institute - the @allen_ai by @amazon Machine Learning alums.

🔍 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…

🤔#LLMs in production - what can possibly go wrong? As the #LLM revolution unfolds, it's crucial to stay ahead of potential pitfalls like failure modes, biases, security loopholes, and cringe-worthy customer experiences.

Presenting LangKit - the turn-key monitoring solution that makes your #LLM applications safe and responsible 🤯 Now available in Private Beta. Sign up for early access to the private beta now: bit.ly/3I54x06

@sagecodes' workshop on building and monitoring #ComputerVision models with TensorFlow/Keras and @WhyLabs starts at 10:00 am PST! Join the live stream 👇bit.ly/3mb2Iq9 #ML #MLMonitoring #CV

Developers 👋 We understand that devoting development time to integrating #DevOps tools and monitoring solutions isn’t always realistic. We are exploring a #NoCode solution for automatically profiling and monitoring data - learn more about it in our blog: bit.ly/3yyBHjX

📸 @WhyLabs ML Engineer Murilo Mendonca illustrates how capturing snapshots of your data, called @whylogs profiles, enables fast and efficient #DataLogging - even if your datasets scale to larger sizes! Read the blog: bit.ly/3ADPplB #whylogs #MLOps #MLMonitoring

Data quality mapped to a schema registry or data type validation is a good start, but we explore a few error scenarios on the subtle data quality issues that schema validation won’t pick up and how you can mitigate them. ➡️ bit.ly/3R9NITS #MLOps #MLMonitoring #Kafka

With the new monitoring experience, @WhyLabs users are now able to target and configure monitors on a much more granular level than ever before! Watch the video to see the new monitoring system in action, or learn more in our blog (link in comments). bit.ly/3wsITgj

Congrats to @grafana, @fastifyjs, Pino, @whylogs, Git Stats, ZX, @prismal, @teamcodestream, Capri, & EvoBot for shipping major versions in June 🥳 github.blog/2022-07-27-rel… Working on July's RR now, and if you have a project shipping in August submit it: releaseradar.github.com

Images can be tricky! A variety of physical and data pipeline factors can impact the consistency and quality of image data and introduce many possible points of failure. Learn about potential challenges and solutions to monitoring unstructured image data: bit.ly/3QhYRBr

Tune in to @DataTalksClub's podcast on Friday to hear @dleybz chat with @Al_Grigor about his journey to becoming an #MLOps architect, what he does, and best practices he’s learned along the way! 🎙️ Register to attend the podcast live: bit.ly/3PGMm2m #ML #DataTalks

Whether you’re a #DataEngineer, #DataScientist, or #MachineLearning Engineer, you can bring the health of your data and models into focus faster with #whylogs profile visualizer! Read about 5 ways to inspect data and models in @khurchla's blog post: bit.ly/3yvcHJu

Once you’ve deployed a model, you may think the work is done. But really, it’s just beginning. #DataQuality and #DataChange issues can cause big problems down the road. Avoiding model performance degradation is easier than you think. Learn more: bit.ly/3pjg0Qh

We are headed to Las Vegas for @AmazonreMARS! Don’t miss the panel discussion on the fastest growing trends in #MLOps with @WhyLabs Co-founder and COO, @mariakar, along with @OctoML, @wandb, @insightpartners, and @PyTorchLightnin! bit.ly/3bdIPsZ #ReMARS #AWS

Join @sagecodes on tomorrow’s @rsqrdai live chat with @StanevaVeselina from @teachablehub, on how to grow a product mindset in #MLOps, the challenges around deployments, delivering business value, and more! 🗓️ Register now to attend the event: bit.ly/3H6hOng

🚀 Tune in now for our virtual launch party to get all the details on whylogs v1 and ask the developers of whylogs, including @zalessya, CEO & Co-founder of @WhyLabs, your questions LIVE! Watch the #LiveStream: bit.ly/3M5Yt6E #DataLogging #whylogs #MLMonitoring