⚡️ #LLM Scan now supports Custom Models ⚡️ Following our recent announcement of supporting Mistral AI models, we've now added multi-model compatibility for OpenAI, ollama, and custom local LLMs. 🦙🧪 We've listened to your feedback of supporting custom models, and you can now

Follow our talk today in O'Reilly Media AI Superstream 🎙️🤩 This online event focuses on deploying and managing Large Language Models (LLMs) in production. Our LLM Research Lead, Matteo Dora, will present a session titled "Secure LLM App Deployments—Strategies and Tactics". He

Are your AI models at risk of #DataPoisoning attacks? 🧪🏴‍☠️ Data poisoning is a real threat to enterprise AI systems as it manipulates the data of your AI systems, skewing outputs and compromising decision-making processes. As AI integration grows, the risks to sectors like

⚡️ After the #EUAIAct passed in March, what are the consequences for Providers of GenAI Systems? 👇 In our last white paper, we dive deep into the world's first legally binding AI law. As businesses rapidly adopt Generative AI models like LLMs and foundation models, the EU AI

🚀 Build an AI customer service #chatbot using open-source LLMs 🚀 In this tutorial we cover how to evaluate and choose the best open-source LLM for an AI customer chatbot using the Giskard testing platform. You'll learn: • Key criteria to evaluate LLMs for customer chatbots

I recorded a step-by-step tutorial about how to test RAG applications. It's 50 minutes, and I tried to make it as simple to understand as possible. For those of you who find these long tutorials helpful, what should I cover next?

« The AI regulation impacting business » nous clôturons cette 1ère journée avec ce talk avec notre expert PwC Rami Feghali, Partner, EMEA and France head of Risk Services, Jean-Marie JOHN-MATHEWS Cofounder & CPO de @Giskard_ai, Marc Gardette de Microsoft France…

Day 2 at #VivaTech! ⭐ Yesterday, we had the privilege of discussing with Bruno Le Maire, French Minister of Economy, Marina Ferrari, Secretary of State for Digital Affairs, and Clara Chappaz, Director at La French Tech, about AI risks, Giskard, and #France2030. We're excited

🚩 LLM Red Teaming course with Andrew Ng is now available on Coursera 🥷 Large Language Models (LLMs) have increased their use in enterprise applications, including RAG-based chatbots, but they can have vulnerabilities. Proactively identifying and addressing these issues is

Is your business using #LLMs for applications like #chatbots, but unsure about their reliability? 👇 Evaluating LLMs is crucial for detecting issues like hallucinations, mitigating bias, enhancing safety, protecting sensitive data, and optimizing performance. Without proper

How LLMOps is different from MLOps? 🪄🤔 Short for Large Language Model Operations, LLMOps focuses on the deployment, management, and optimization of LLMs in production environments. In this article, you'll discover: ✅ The key differences between MLOps and LLMOps ✅ Challenges

✨ New integration with Databricks MLflow! ✨ This partnership brings together Giskard's LLM evaluation capabilities and MLflow's model management features. Databricks users can now automatically identify vulnerabilities on ML models and LLMs, generate domain-specific tests,

We're hiring! 🚀 We're looking for a #MLEngineer Intern to join our team! In this role, you'll participate in red-teaming LLM applications for our customers, finding vulnerabilities and adding new evaluation methods. You'll also provide technical guidance to customers on

Follow our talk at Open Data Science today! 🔥 Join Alexandre Landeau for his talk, "Secure LLM App Deployments—Strategies and Tactics," where he'll explain how to enhance the security of Large Language Models (LLMs). Discover how red-teaming techniques from cybersecurity can be applied to

We're looking for a Senior Data Scientist to lead customer projects 🎉 In this role, you'll lead red teaming AI applications for customers, identifying vulnerabilities and providing guidance to clients on mitigating risks and optimizing their LLM apps. You'll collaborate closely

Featured in the latest Starlet issue by Star History! 🌟 Star History is the #1 GitHub star history graph on the web, and tracks trending open-source projects and their growth over time. In their latest issue, you'll discover how our open-source library for testing LLMs helps

Docker ollama Carol Chen 🐰💜🤘🖖| ➡️🦣 @[email protected] Rachid Snoussi Red Hat Amazon Web Services Michael Yuan Gaia 🌱 Pierre-Loic Doulcet LlamaIndex 🦙 Estelle Scifo Neo4j Yann Leger The demo from Giskard's Alex Combessie, Open-source RAG Evaluation Toolkit is ready Repo: github.com/Giskard-AI/gis… Video: youtube.com/watch?v=6wSNPr…