
Mona
@mona_labs
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42
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81
Mona's intelligent monitoring solution enables data science and machine learning teams to track data and model performance in their production AI environment.
Joined September 2020
RT @le_james94: New Podcast 🎙️. #Datacast E123 features Itai Bar Sinai. We discussed:.- AI Monitoring.- Product-Oriented Data Science.- Hir….
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If you've had any experience with #LLMs, there's a good chance you're familiar with the term "model hallucinations." But what exactly are they and why should you care? Learn about everything you need to know about #modelhallucinations. #generativeAI #AI
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RT @Whats_AI: How do LLMs work? Next Word Prediction with the Transformer Architecture Explained!. With @JayAlammar from @cohere. Learn mo….
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As #LLMs continue to gain widespread popularity, a new role has emerged - prompt engineering. Learn how prompt engineering can be integrated into existing teams and how organizations can better make the shift towards a #PromptEngineering mindset.
monalabs.io
Learn how prompt engineering can be integrated into existing teams and how organizations can make the shift from data science to prompt engineering.
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With groundbreaking products now being built using #generativeAI, monitoring these applications has become more critical than ever. Businesses need a solution that can search for issues at a granular level while avoiding noise. Read our blog: #ai #mlops.
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We are thrilled to announce our new self-service #monitoring solution for #GPT based applications! . Mona is already being leveraged by @hyro_ai to optimize token usage, API performance, and prompt and response quality. Sign up for free:. #llms #openai.
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Large language models (#LLMs) have taken the world by storm, transforming the way we approach #generativeAI applications. But are you fully prepared to unleash your LLM application to the public? . Avoid the potential pitfalls that you need to be aware of:.
monalabs.io
Thinking of launching your LLM application? Learn how to assess production readiness by addressing privacy, prompt injection, hallucinations, and hidden costs.
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Join Itai Bar-Sinai and Gal Naamani at #ODSC2023 for a virtual session titled "Utilizing Advanced Monitoring Capabilities to Promote Product-Oriented Data Science" on Thursday, June 15 at 11:40am BST. #mlops #datascience #events
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Continuous feedback can significantly enhance the performance and effectiveness of #AI systems. It refers to an iterative process of actively collecting, analyzing, and incorporating feedback into the AI development cycle. #datascience #mlops.
monalabs.io
Learn why continuous feedback is essential for improving AI performance, aligning with business goals, and sustaining long-term model value.
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We're thrilled to announce our monitoring solution for generative AI, providing complete visibility for prompt engineering, large language models, #GPT, and other #generativeAI projects. Learn more: . #llms #promptengineering #responsibleAI.
monalabs.io
Mona's monitoring solution is made for teams building solutions on top of generative AI models, giving valuable insights into LLMs & GPT-based applications
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Just because a specific feature for #AI monitoring is offered, doesn't mean it can be tailored to your specific use-case. Our latest blog post discusses the challenges of specificity in monitoring AI with real life examples. #mlops #datascience #ml.
monalabs.io
Specificity is at the core of competent monitoring due to intricacies for each use-case. Learn about the key challenges of specificity in monitoring AI.
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By harnessing the power of #GPT and #LLMs, businesses can drive innovation, gain a competitive edge, and unlock untapped growth opportunities. Read our post to learn how to unlock the potential of #AI to fuel the success of a business.
monalabs.io
Discover how leading teams sustain and scale AI success through the virtuous cycle of AI-driven growth—a framework connecting data, models, infrastructure, and real-world impact.
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If you're planning to incorporate #GPT APIs into software products or already have, get ready to face new challenges and roadblocks ahead. In this post, we've outlined the most prominent obstacles to plan ahead: #GenerativeAI #LLMs #OpenAI.
monalabs.io
We have outlined some of the largest challenges and roadblocks that businesses should anticipate as they incorporate GPT models into software products.
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Our customer Fiverr has been leveraging Mona's monitoring solution to gain complete visibility into their #AI systems, improving operational processes and optimizing performance of their #MachineLearning models. Check out our case study: #mlops.
monalabs.io
Fiverr uses Mona's highly configurable tool to enable AI monitoring for dozens of models in a myriad of business functions. Read Fiverr's ML success story.
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#AI is becoming more democratized with the rise of #GenerativeAI such as ChatGPT and Dall-E. It's essential that we ensure that these systems are fair and ethical. Read our latest blog post on the fundamentals of #ResponsibleAI. 👉
monalabs.io
Learn about the potential dangers of AI and the importance of responsible AI practices. Discover the fundamentals of responsible AI to mitigate risks.
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#AIMonitoring allows you to have an ongoing understanding of the strengths and weaknesses with your models, enabling you to optimize your models before issues impact your overall business. Read our guide on best practices for monitoring your #AI system: .
monalabs.io
Learn how to evaluate AI monitoring solutions, avoid common pitfalls, and implement best practices to ensure your ML models deliver real business value with robust, end-to-end observability.
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Mona's latest automated exploratory data analysis tool was recently featured by @BigDATAwireNews. Check out the article to see how you can streamline your data analysis process and make better data-driven decisions with Mona. #dataanalysis #dataanalyst.
datanami.com
Mona, the maker of an AI monitoring platform, has introduced a new automated exploratory data analysis tool to identify the root cause of anomalies in
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If you're incorporating AI into your business, it's crucial to have effective monitoring operations in place. Check out our latest blog post for best practices on setting up successful monitoring operations: . #AI #MLOps #monitoringoperations.
monalabs.io
Learn how to set up successful monitoring operations for your AI team. Monitoring is a crucial aspect of MLOps, from accountability to issue resolution.
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Want to ensure your AI models are compliant, reliable, and trustworthy? Itai Bar Sinai recently gave a talk to Israeli legal scholars on best practices for auditing AI-driven processes with real-world examples. Check it out: . #AIMonitoring #AIRegulation.
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