📢 New Blog Post: Evaluate and Improve RAG Applications for Safe Production Deployment 💹 Working on RAG applications? Looking to evaluate and improve them for production use? Our latest blog post has you covered! 🔍 Learn about: - Key metrics for assessing RAG performance - Techniques to enhance retrieval and generation - Best practices for safe production deployment 🚀 Unlock the Power of Your RAG Applications in Production! 🚀 https://lnkd.in/gnqTRkH9 #GenAI #RAG #LLM
About us
WhyLabs enables teams to harness the power of AI with precision and control. From Fortune 100 companies to AI-first startups, teams have adopted WhyLabs’ tools to monitor and perform real-time management of ML and generative AI applications. With WhyLabs, teams reduce manual operations by over 80% and cut down time-to-resolution of AI incidents by 20x. WhyLabs AI Control Center assesses data in real-time from user prompts, RAG context, LLM responses, and application metadata to surface potential threats. With low-latency threat detectors optimized to run directly in the inference environments, WhyLabs maximizes safety without the associated cost, performance, or data privacy concerns. Learn more at www.whylabs.ai, follow us on Twitter (@whylabs) or join our Community on Slack (http://join.slack.whylabs.ai).
- Website
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http://www.whylabs.ai
External link for WhyLabs
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- Seattle, WA
- Type
- Privately Held
- Founded
- 2019
- Specialties
- SaaS, Big Data, Infrastructure, Observability, Logging, Machine Learning, AI, Data Quality, MLOps, LLMs, Generative AI, LLMOps, and LLM Security
Locations
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Primary
Get directions
Seattle, WA 98103, US
Employees at WhyLabs
Updates
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re:Invent is finally here! 🙌 Attending in person? ☕ Connect with WhyLabs over coffee - Maria Karaivanova, Andy Dang, and Robby Parker will be there! ☕🗓️ https://bit.ly/3CK7H9D Join WhyLabs as we work with industry-leading AI/ML partners to shape the future of #ResponsibleAI together! #AWS #reInvent2024 #GenerativeAI #GenAISecurity #MachineLearning #ML #AI
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👨💻 Q: What is more important than securing a GenAI application? 👩💻 A: Understanding what interactions get blocked by your security policy, of course! Thats the only way to continuously improve the user experience! Try WhyLabs:Secure Embedding Projector! 👍 Find all interactions that violated a policy with quick filters 👇 Debug by zooming into the trace details of each interaction 🙌 Understand the signature of the blocked interaction by visually analyzing the embedding space around it Try it today: https://whylabs.ai/free 😍
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Thank you Cate Lewison for the outstanding work on #LLM #GenAI at WhyLabs, we ❤️ having you on the team 👏 👏 👏
🎉 As I conclude my summer internship at WhyLabs, I’m excited to share the impactful work and valuable experiences I gained. 🌟 Over the past few months, I had the chance to work alongside a talented team on some exciting projects, including enhancing LLM prompt scoring and blocking, developing tools to tackle LLM attacks, and reducing prompt injection detection latency. I also contributed to embedding visualization and integrated customer feedback into our solutions. With the support of Jamie Broomall, Anthony Naddeo, Felipe Adachi, Richard Rogers, and Bernease Herman, I focused on building injection detection metrics, supporting multiple encoders, and integrating PCA coordinates into WhyLabs traces. These projects not only challenged me but also taught me invaluable lessons. This internship has been a transformative experience. I’ve learned the critical role of mentorship, embraced failure as a catalyst for growth, and developed a keen ability to navigate ambiguity with creative solutions. A heartfelt thank you to the entire WhyLabs team for this incredible opportunity, and a special shout-out to Alessya Visnjic and Maria Karaivanova for their guidance and support. I’m excited to carry these experiences forward into the next chapter of my career. 🚀 #Internship #SoftwareEngineering #AIObservability
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Black Hat Time! WhyLabs CEO Alessya Visnjic and CTO Andy Dang are rolling the dice and taking on Vegas this week for Black Hat 2024. 🎲 Interested in discussing GenAI security and guardrails needs at enterprise scale? Let's connect! Schedule a meeting with us and learn how to navigate the complexities of GenAI security at scale: https://bit.ly/3LSRsZ0 Safe travels to everyone flying in today and tomorrow! 🛬 What are your top concerns about GenAI security? Share with us in the comments! #BlackHat2024 #BlackHat #Vegas #GenAI #GenAISecurity #LLMOps #LLM
Meet WhyLabs at Black Hat - WhyLabs, Inc.
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We loved joining #SeattleTechWeek at the GenAI Startup Panel with WhyLabs Alessya Visnjic, Luis Ceze from OctoAI, and Doug Tallmadge from Gradial. Shout out to Madrona's Jon Turow for moderating and to our partner Amazon Web Services (AWS) for hosting the panel and the fireside chat with Swami Sivasubramanian! We’re thrilled to see so many exciting #AI and #GenAI startups sprouting in the Seattle tech ecosystem.
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Join our webinar TODAY at 10:00 am PDT as we dive into recent LLM developments in prompt injections and jailbreaks. Click the link to join the live stream ⬇️ https://bit.ly/3YhfJzv #GenerativeAI #LLM #AISafety
Current state-of-the-art on LLM Prompt Injections and Jailbreaks
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This Wednesday, WhyLabs’ Bernease Herman will be exploring two recent LLM developments related to prompt injections and jailbreaks. Don't miss this opportunity to stay ahead of AI advancements! Date: Wednesday, July 24, 2024 Time: 10:00 AM PDT Register Now: https://bit.ly/46ey4z8 #GenAI #LLMOps #GenAISecurity #AI #ML
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Bernease Herman is going live in a few minutes to discuss Finding the Right Datasets and Metrics for Evaluating LLM Performance! #LLM #GenAI #MachineLearning #LLMOps
Finding the Right Datasets and Metrics for Evaluating LLM Performance
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🌟 Join us Wednesday at 10:00 AM for a webinar on Finding the Right Datasets and Metrics for Evaluating LLM Performance! Join us for a deep dive into the complexities of evaluating Language Model applications in real-world settings. Bernease Herman will be discussing the complexities of evaluating Language Model applications in real-world settings. We'll be examining the challenges faced when using labeled versus unlabeled data for LLM evaluation. From traditional metrics on academic datasets to tailored examples, we'll uncover effective strategies for ensuring robust performance in production environments. Date: Wednesday, July 17, 2024 Time: 10:00 AM PST Register Now: https://bit.ly/3S1yIdu #GenerativeAI #LLM #ResponsibleAI #LLMOPS
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