Sanjay Pathak, (PhD)

🚀 How to Evaluate LLM Applications Large Language Models (LLMs) are powerful, but their real impact depends on how we evaluate them. The right benchmarks and evaluation methods ensure accuracy, fairness, and real-world applicability. 🔍 Key Takeaways from the Framework: ✅ Benchmarks Language Understanding & QA: TruthfulQA, MMLU, DROP Common-sense & Reasoning: ARC, HellaSwag, BIG-Bench Hard Coding: HumanEval, CodeXGLUE Conversation & Chatbots: Chatbot Arena, MT Bench, Stanford HELM ✅ Evaluation Methods Character Level: Levenshtein Distance Word Based: BLEU, ROUGE, METEOR, Perplexity Embedding Based: BERTScore, MoverScore, QAG Score Language Model Based: GPTScore, SelfCheckGPT, G-Eval, Prometheus NLP Models: NLI, BLEURT Frameworks: DeepEval, RAGAS 💡 Whether you’re building chatbots, coding assistants, or reasoning systems, choosing the right benchmark + evaluation method is crucial to measure performance and reliability. 👉 Question for you: Which evaluation method do you think gives the most real-world reflection of LLM performance traditional metrics like BLEU/ROUGE or LLM-based evaluations like GPTScore & SelfCheckGPT? #LLM #AI #MachineLearning #NLP #Evaluation #GenAI #ArtificialIntelligence

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Building a successful AI strategy requires a well-structured roadmap: https://gtnr.it/3WhmVdb The Gartner AI Roadmap tool helps CIOs prioritize tasks across 7 key workstreams, aligning AI goals with organizational strategy ⬆️ Gartner for IT | #GartnerIT #CIO #AI #Leadership

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Top 9 Healthcare Data Exchange Guides for AI Professionals Healthcare data exchange is the backbone of modern medical innovation, enabling the seamless flow of health information across disparate systems and providers. By leveraging standardized protocols like HL7 FHIR for APIs and HL7 v2 for legacy messaging, organizations can break down data silos within EHRs like Epic and Cerner. For AI professionals, mastering these standards is not just a technical requirement—it is a strategic necessity to secure the high-quality, …...

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Spending 6-7 figures on AI consulting? Ask these questions first. Most AI consulting firms sell transformation theater, not transformation results. They'll give you: - Beautiful strategy decks - Proof of concepts that never scale - Lots of activity, zero business outcomes Here's how to separate the real from the rest: [SWIPE 👉] #AIConsulting #AITransformation #DueDiligence #Leadership #DigitalTransformation

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🌍 Digital Workplace + ITSM platform: A Strategic Convergence for Scalable Innovation The modern enterprise demands more than just remote access and ticketing—it requires a unified, intelligent ecosystem that empowers teams, secures operations, and accelerates outcomes. Digital Workplace platforms are evolving to deliver role-based computing, multilingual support, and seamless onboarding experiences. Meanwhile, ITSM is transforming into a cloud-native, AI-powered orchestration layer—integrating observability, automation, and predictive analytics to drive resilient service delivery. This convergence isn’t just technical—it’s strategic. It enables cross-functional governance, faster decision-making, and measurable impact across IT, and business operations. From dynamic CMDBs to GenAI-enhanced service desks, the future of work is modular, scalable, and deeply integrated. I’m passionate about designing frameworks that unify these capabilities—especially for global, hybrid cloud environments. Whether you're building secure platforms or optimizing SLAs, this intersection is a powerful lever for transformation. #DigitalWorkplace #ITSM #HybridCloud #EnterpriseArchitecture #CloudNative #GenAI #Observability #GlobalIntegratedEnterprise #ITGovernance #TeamEnablement #ITIL4 #TechLeadership

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Becoming Clinical Interoperability This Post discusses the multiple interconnected terms we use when faced with specifying clinical interoperability scenarios. We will introduce clear definitions and relationships between the core concepts of interoperability in a healthcare context. We are going to illustrate the relationship of the concepts through several interoperability workflow patterns rendered by sequence diagrams. We will focus on the following key workflows: 1. Basic FHIR API Workflow: Patient data retrieval via FHIR API. 2. Medical Device Integration Workflow: Infusion pump sending data to EHR. 3. Cross-Enterprise Document Sharing (XDS) Workflow: Sharing a clinical document between two different healthcare organizations. 4. Laboratory Result Delivery Workflow: From lab device to EHR via LIS and HIE. These diagrams depict the flow of data and the interactions between the clinical interoperability core concepts (Platform, System, Component, Device, API-interface, and Artifact) in various interoperability scenarios. Each diagram highlights the role of standards (like HL7, FHIR, IHE profiles) and the importance of APIs and interfaces in enabling these workflows. A System resides on a Platform. It is composed of several Components. It connects to other Systems and Devices via API-interfaces. It creates, consumes, and manages Artifacts. An Artifact is the data object created by a System, Component, or Device. It is transmitted from one entity to another via an API-interface. It is stored and managed on a Platform. In essence, Platforms provide the foundation, Systems perform the core functions, Components and Devices create and consume data, APIs are the communication channels, and Artifacts are the standardized data packages that flow through these channels. All this, to achieve continuity of care with seamless interoperable, and a medical outcome, that improves the citizen's functional health status. This comprehensive explanation of clinical interoperability concepts and workflows, along with conceptual frameworks, standards compliance regulation, and visual representation of conformance rules (IHE Implementation Guides), provides a holistic view of how healthcare systems achieve interoperability in practice. Enjoy! jvilalta@vico.org https://vicoacademy.com/ #VICOOPENAcademy @VICO OPEN Academy 

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