Fiddler Trust Models are designed to help safeguard your LLM application while driving business growth. Here's why 👇 📌 Speed and Accuracy: Fiddler Trust models are low latency and run faster 📌 Safe: They can be deployed in private or air-gapped environments 📌 High Scalability: They can handle enterprise-level throughput and scale with a growing organization/traffic levels 📌 Cost effective: They are lighter and more cost-effective compared to most closed-source models Check out an in-depth Fiddler Trust Model here: https://buff.ly/3LClqRd #AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #EthicalAI #AIObservability
Fiddler AI
Software Development
Palo Alto, CA 13,203 followers
Build trust into AI with Fiddler - the pioneer in AI Observability.
About us
Fiddler is a pioneer in AI Observability for responsible AI. The unified environment provides a common language, centralized controls, and actionable insights to operationalize ML models and GenAI and LLM applications with trust. Monitoring, analytics, and explainable AI capabilities address the unique challenges of building in-house stable and secure LLM and MLOps at scale. Fiddler helps you grow into advanced capabilities over time and build a framework for responsible AI practices. Fortune 500 organizations use Fiddler across pre-production and production to deliver high performance AI, reduce costs, and be responsible in governance.
- Website
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https://www.fiddler.ai
External link for Fiddler AI
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- Palo Alto, CA
- Type
- Privately Held
- Founded
- 2018
- Specialties
- Machine Learning, Explainable AI, MLOps, ML Monitoring, Artificial Intelligence, Deep Learning, NLP, Data Science, ML, AI, XAI, Responsible AI, LLMOps, LLMs, LLM Observability, AI Observability, and GenAI
Locations
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Primary
Palo Alto, CA 94306, US
Employees at Fiddler AI
Updates
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Fiddler AI reposted this
This week's Llama 3.1 launch from Meta is historic! The gap has dramatically shortened between open-source and closed-source AI. We're hearing from several of our large enterprise customers that they are going with open-source LLMs as they take into account of aspects like data security, customization, cost, and latency. Graph courtesy Maxime Labonne!
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Financial services institutions are charging ahead to implement generative AI and LLM applications to enhance existing and launch new products and services, improve productivity, and reduce operational costs, while meeting robust AI governance and regulatory compliance standards. 📌 Build Trust: Increase transparency and accuracy in AI models, ensuring stakeholders understand and trust the AI-driven decisions. 📌 Reduce Risk: Detect and mitigate hallucinations, toxicity, and PII leakage, reducing financial risk and ensuring compliance with regulatory standards. 📌 Enhance Decision-Making: Gain deeper insights from AI models to make more informed and accurate business decisions. In a sector where trust and accuracy are paramount, the Fiddler AI Observability platform empowers financial institutions to leverage ML and GenAI applications responsibly and effectively, driving better outcomes for businesses and their customers. Learn more: https://buff.ly/4c0LCPW #AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #EthicalAI #AIObservability
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Join us tomorrow with Anyscale on #AIExplained to discuss reliability challenges, building the right AI infrastructure, and implementing the latest practices in productionizing GenAI at scale. Register now to get your questions answered: https://buff.ly/3S2mhOy — #AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #EthicalAI #AIObservability #AIinfrastructure #GenAI
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Is #AIObservability the key to unlocking the full potential of #LLMs? Find out this Friday, July 26th where our co-founder and CEO, Krishna Gade, will present AIM Research #MachineConUSA!
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Ensuring ethical AI in #finance is crucial as the technology revolutionizes the industry. Citi's recent report emphasizes the importance of responsible AI adoption. 🔷 Bias and Discrimination: AI models can perpetuate biases, making it essential to implement robust checks to ensure fairness. 🔷 Transparency and Explicability: It's critical to make AI decision-making processes clear to maintain trust and accountability. 🔷 Data Security: Protecting sensitive financial data from breaches and misuse is paramount. 🔷 Ethical Governance: Establishing guidelines and ethics committees to oversee AI deployment helps prevent misuse and ensures responsible innovation. 🔷 Impact on Profits: AI could boost the global banking sector's profits by 9%, or $170 billion, by 2028. Ethical AI in finance ensures fair, transparent, and secure operations, protecting both institutions and clients. How can we further enhance AI ethics in the financial sector? Read the report: https://buff.ly/4cE0wgn — #AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #EthicalAI #AIObservability #Bias #Transparency
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AI is changing how we detect media bias. #UPenn’s Computational Social Science Lab has created a #MediaBiasDetector. Here’s what it does: ✦ Uses AI to analyze and map bias in media ✦ Offers insights into information spread ✦ Helps create an informed public by identifying bias ✦ Aids researchers and journalists in balanced reporting Why does this matter? Understanding media bias helps us critically consume news and supports a healthier public discourse. Check out the Media Bias Detector: https://buff.ly/3zxRvGP — #AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #EthicalAI #AIObservability #Bias
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Fiddler AI reposted this
Observability tools offer insights into the following five layers of "GenAI Application Stack" 1. Infrastructure Layer - Tracks GPU usage, memory consumption, and network throughput. 2. Data Storage/Vector Database Layer - Tracks data-related metrics 3. Model Layer - Tracks model performance, accuracy, inference, and output quality. 4. Orchestration Layer - Tracks throughput, latency, and error rates. 5. Application Performance Monitoring - Tracks response time, and user behavior and feedback. For more on GenAI Observability, read the complete report here: https://lnkd.in/g_RD4BZk #GenAIObervability #ObservabilityTools #VendorLandscape #LLMs Dynatrace TruEra Datadog Fiddler AI Arize AI AppDynamics
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Scaling production #GenAI deployments can be challenging due to the need for evolving AI infrastructure, approaches, and processes that can support advanced GenAI use cases. Join us next week with Anyscale on #AIExplained to discuss these challenges and approaches. 📅 Register now: https://buff.ly/3S2mhOy — #AI #ArtificialIntelligence #ML #MachineLearning #MLOps #LLMs #LLMOps #GenAI #GenerativeAI #DataScience #DataScientist #DataEngineering #DataEngineer #CIO #ResponsibleAI #EthicalAI #AIObservability
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We're excited to share that Fiddler is included on Lazard VGB AI Infra 40 list for #MLOps! Read on for the full list and to learn more about key market themes: https://buff.ly/3WodadE