Wisecube

🚀 Unlocking Reliable AI: Watch Our Latest Big Data Bellevue Meetup! 🚀 Missed our session at the Big Data Bellevue Meetup? No worries—we’ve got you covered! In this insightful talk, Vishnu Vettrivel (CEO, Wisecube) and Alex Thomas (Principal Data Scientist, Wisecube) dive deep into AI’s most pressing challenges, from AI hallucinations to model drift and the regulatory landscape. 🎥 Watch Now: https://lnkd.in/eZbh5_9M What’s inside: • Understanding AI reliability issues and their real-world impact • How AI observability can be a game-changer for data professionals • A close look at Pythia, our cutting-edge AI observability tool • Practical tips for AI/ML developers to build trustworthy systems Whether you're an AI developer, MLOps engineer, or data scientist, this talk will equip you with actionable insights to tackle AI’s reliability head-on. #AI #ArtificialIntelligence #MachineLearning #DataScience #BigData

Improve Chatbot Performance with Real-Time AI Monitoring 🤖🧠 AI hallucinations are a serious issue, leading to incorrect chatbot responses and a loss of user trust. Pythia is designed to fix that by detecting hallucinations in real time, validating responses, and providing developers with actionable insights.  Here’s what makes Pythia stand out: 🟣 Advanced Hallucination Detection: Utilizes knowledge triplets and a billion-scale knowledge graph for accurate, fact-checked outputs. 🟣 Real-Time Monitoring: Ensures instant error detection and correction, offering detailed audit reports. 🟣 Reliable Interactions: Protects user queries with input/output validation, ensuring accurate and unbiased responses. ➡️ Find the step-by-step guide here: 🔗 https://lnkd.in/em-HJGSm #AI #MachineLearning #ArtificialIntelligence #Developers #DataScience

Why Do AI Models Fail in Production? Here’s How to Fix It. 🛠️ AI models might perform well during testing but often fail under real-world conditions. From data drift to security vulnerabilities, these challenges can cause serious issues. This article explores why AI models fail and how observability tools like Pythia empower your AI systems and ensure they operate at peak performance. Discover how Pythia: 🟣 Detects hallucinations instantly, identifying inaccuracies in real time and ensuring up to 98.8% LLM accuracy. 🟣 Leverages knowledge graphs to ground AI outputs in factual insights with billion-scale knowledge graph integration for smarter, more accurate decisions. 🟣 Tracks accuracy with precision by monitoring task-specific metrics like hallucination rates, fairness, and bias to ensure your AI delivers relevant, error-free results. 🟣 Validates inputs and outputs, ensuring only high-quality data enters your model, keeping outputs consistent and trustworthy. 🟣 Proactively catches errors like model drift and unexpected data shifts with real-time monitoring and alerts before they escalate. 🟣 Secures your AI by protecting against security threats and ensuring outputs are safe, compliant, and free from bias. Read the full insights here: https://lnkd.in/dHMZrtds #AI #Observability #MachineLearning #BigData #DataScience #ArtificialIntelligence #Software

🧪Accelerate Your Drug Discovery with Orpheus🔬👩⚕️ Leverage AI to streamline your research with Orpheus, Wisecube’s advanced tool for efficient compound identification and lead optimization. Predict molecular fingerprints, suggest alternative compounds, and accelerate the drug development process. 💊 Key advantages of Orpheus: 🔵 Predicting molecular fingerprints for missing fragments with 60% accuracy. 🔵 Introducing novel fragments to existing leads, revealing chemical similarities. 🔵 Enhancing lead optimization with AI predictions and tailored training. 🔵 Accelerating compound identification with advanced AI and deep learning. 🔵 Conducting in-silico analysis, predicting bioactivity and ADMET properties. Want to learn more? Read the full article to see how Orpheus can support innovation in therapeutic development. ➡️ https://lnkd.in/eriXwQzZ #AI #Pharma #Biotech #Research #DrugDiscovery #DrugDevelopment #Medical #Innovation

💡The Secrets to AI Reliability Large language models like ChatGPT often produce outputs that seem accurate but aren’t. These hallucinations—such as incorrect scientific abstracts—can lead to serious consequences, from lost funds to diminished trust. ❌ That’s why continuous monitoring is essential to ensuring #AI integrity. While one-time checks can identify errors, they don't track improvements over time, leaving AI systems vulnerable to recurring issues. 🛠️ To address this, Wisecube’s Pythia provides real-time hallucination detection, safeguarding AI reliability through continuous monitoring. This approach allows developers to consistently track, refine, and improve model performance. 🧠 Discover how continuous monitoring enhances AI reliability and trust. Read the full article below! ⬇️ https://lnkd.in/endK6bmz #ArtificialIntelligence #BigData #DataScience #Tech #Software

Fix AI Failures with Pythia TrustLLM has shown that no LLM fully meets all reliability criteria. The evaluation revealed issues with truthfulness, safety, and fairness in popular LLMs, leading to hallucinations, bias, and unreliable outputs. Even top proprietary models like GPT-4 fall short compared to open-source solutions such as Llama2 in many trustworthiness metrics. How can you avoid these pitfalls? Wisecube's Pythia is designed to address the key principles outlined by TrustLLM: - Truthfulness: Detect and correct hallucinations using the Orpheus knowledge graph. - Safety: Perform fact-checking with access to 10 billion verified data points. - Transparency and Accountability: Conduct detailed audits and track biased model responses. Integrate Pythia into your workflows and build truly reliable LLMs. 🔗 Learn more about Pythia and its capabilities: https://lnkd.in/ecsnZUyH #ArtificialIntelligence #MachineLearning #DataScience #Research

Orpheus: Next-Level Search Precision for Biomedical Research 🔬🧬 In biomedicine, the speed and accuracy of search results can change the course of research. Standard search platforms like PubMed and Google often fail to provide the exact data researchers need. Orpheus is an efficient AI tool that delivers precise and relevant results, even for the most complex queries. Why does it matter? Orpheus addresses the key challenges of traditional search - data complexity, diversity, and disorganization. Our algorithms find what others miss. Want to know how Orpheus performs better? Let’s compare it with common platforms and see the difference in accuracy, completeness, and results ranking. Read the full article to discover how Orpheus accelerates breakthroughs in biomedical research. ➡️ https://lnkd.in/d2N5BxN2 #AI #Biomedical #Research #Medical #Data 

Improve Your AI Operations with AI Observability 💡 Generative AI is revolutionising industries by increasing efficiency and cutting costs. McKinsey & Company reports that 65% of companies have already integrated AI into their processes, with predictions showing AI could add up to $4.4 trillion to the global economy annually. 🌍 However, with this rapid growth comes complexity. AI observability helps engineers quickly diagnose and fix issues, enhancing model reliability and ensuring smooth operations. Here’s how AI Observability can transform your AI systems: 📊 Monitor and resolve errors in real-time 🛡 Strengthen data security and prevent vulnerabilities ⚖️ Eliminate bias to ensure fairness in model outcomes Want to know how AI Observability can streamline your operations? Read the full article below! >> https://lnkd.in/ehjqefTK #ArtificialIntelligence #MachineLearning #GenerativeAI #DataScience #BigData #LLM

Pythia: Your AI’s Best Defense Against Hallucinations 🛡️ Hallucinations and misinformation in Large Language Models are a serious challenge for industries where data accuracy is critical, especially in healthcare, finance, and research. Pythia is a transformative solution from Wisecube. It’s an open-source knowledge graph library designed to minimise errors and improve LLM reliability by offering the following benefits: ✅ Build knowledge graphs from trusted data sources ✅ Precisely correct hallucinations in AI outputs ✅ Deeply analyse context and uncover relationships between facts Whether you’re in healthcare, finance, or software development, Pythia empowers you to significantly improve the quality and reliability of your AI. 🔍 Explore Pythia today and discover how it can transform your AI projects! 🔗 Learn more here: https://lnkd.in/e7wk7ABT #MachineLearning #DataScience #BigData #LLM #AI #KnowledgeGraphs #OpenSource #ArtificialIntelligence

🤖 Unlock AI Reliability with Pythia 🛠️ Are you seeking a more efficient approach to monitor and validate your AI models? Discover how the Pythia AI Observability architecture can help manage and observe your LLM models effectively. Why Pythia? As AI models like #GPT and its successors exhibit error rates as high as 27%, the need for effective monitoring and validation is more critical than ever. Pythia is here to provide a robust framework to safeguard your AI applications across various industries, from healthcare to finance, where precision is paramount. 🔑 Key Features: • Real-Time Hallucination Detection: Safeguard your AI applications with immediate alerts on inaccuracies. • Knowledge Graph Integration: Transform AI outputs into contextually rich insights grounded in verified data, ensuring factual accuracy. • Continuous Monitoring & Reporting: Achieve compliance effortlessly, with sophisticated tools to track and document AI performance. 💡 How It Works: Pythia converts AI-generated content into knowledge triplets, cross-referencing with an expansive knowledge graph for unparalleled accuracy. This innovative approach ensures that LLM models operate more effectively, reducing errors and enhancing overall precision in AI outputs. 👉 Learn more on the Pythia website: https://askpythia.ai/ #MachineLearning #ArtificialIntelligence #DataScience #LLM