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JSON Prompting for LLMs: A Practical Guide with Python Coding Examples
Understanding JSON Prompting for LLMs: A Practical Guide with Python Coding Examples JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format. This approach makes prompts clear, explicit, and machine-readable. Unlike traditional text-based prompts, which can leave room for ambiguity and misinterpretation, JSON prompts organize requirements as… →
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What is a Voice Agent in AI? Top 9 Voice Agent Platforms to Know (2025)
What is a Voice Agent in AI? Top 9 Voice Agent Platforms to Know (2025) Understanding the Target Audience The target audience for this article includes business managers, AI developers, and decision-makers in enterprises looking to integrate voice technology into their operations. Their pain points often revolve around: Understanding the technical capabilities and limitations of… →
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Large Language Models LLMs vs. Small Language Models SLMs for Financial Institutions: A 2025 Practical Enterprise AI Guide
«`html Large Language Models (LLMs) vs. Small Language Models (SLMs) for Financial Institutions: A 2025 Practical Enterprise AI Guide The target audience for this guide includes decision-makers and practitioners in financial institutions, such as banks, insurers, and asset managers. These professionals are focused on integrating AI technologies to enhance operational efficiency, compliance, and customer service.… →
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Google AI Proposes Novel Machine Learning Algorithms for Differentially Private Partition Selection
Understanding the Target Audience for Google’s Novel Machine Learning Algorithms The target audience for Google’s proposed novel machine learning algorithms for differentially private partition selection primarily includes: Data scientists and machine learning engineers working in sectors that prioritize user privacy, such as healthcare, finance, and social media. Business managers and decision-makers looking for advanced data… →
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Take 5: AI’s Past, Present, and Future
The rise of artificial intelligence has been rapid and broad, with rampant excitement—and concern—about how the technology will transform industries, the economy, and people’s lives. In this roundup, we dive into research and insights from Kellogg faculty on AI’s past, present, and future, and its implications for scientists, advertisers, and the labor force. 1. An… →
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Orthostatic Systolic Blood Pressure Elevation and Incident Atrial Fibrillation: Insights From the SPRINT Trial
Exaggerated orthostatic changes in systolic blood pressure (SBP) were associated with adverse cardiovascular events. We aim to assess the association between orthostatic SBP changes and incident atrial fibrillation (AF). We performed a post hoc analysis of SPRINT (Systolic Blood Pressure Intervention Trial). Orthostatic SBP changes were defined as standing SBP minus seated SBP. Patients were… →
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Lessons from Vanta’s CRO
Hello and welcome to The GTMnow Newsletter – the media brand of VC firm, GTMfund. Build, scale and invest with the best minds in tech. This is Part II of a series on lessons from some of the top 1% leaders in B2B SaaS. In case you missed it, Part I with the CCO of… →
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Native RAG vs. Agentic RAG: Which Approach Advances Enterprise AI Decision-Making?
«`html Native RAG vs. Agentic RAG: Which Approach Advances Enterprise AI Decision-Making? Understanding the Target Audience The target audience for this content includes business leaders, AI practitioners, and decision-makers in enterprises who are exploring advanced AI methodologies for decision support. Their primary pain points include: Difficulty in integrating AI solutions into existing workflows Need for… →
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Huawei CloudMatrix: A Peer-to-Peer AI Datacenter Architecture for Scalable and Efficient LLM Serving
Understanding the Target Audience for Huawei CloudMatrix The target audience for Huawei CloudMatrix, a peer-to-peer AI datacenter architecture, primarily includes AI researchers, data scientists, IT managers, and business leaders in technology and cloud computing sectors. These individuals are often involved in deploying large-scale machine learning models and require robust infrastructure to support their operations. Pain… →
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AmbiGraph-Eval: A Benchmark for Resolving Ambiguity in Graph Query Generation
«`html Understanding the Target Audience for AmbiGraph-Eval The target audience for AmbiGraph-Eval includes researchers, data scientists, and business analysts who work with graph databases and natural language processing (NLP). These professionals are typically involved in developing or utilizing AI-driven solutions to enhance data retrieval and analysis. Pain Points Difficulty in accurately interpreting ambiguous natural language… →