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<channel><title>Leap Nonprofit AI Hub</title><link>https://leapnonprofit.org/</link><description>Leap Nonprofit AI Hub helps mission-driven organizations harness artificial intelligence to scale their impact. Discover practical tools, guides, and training tailored for nonprofits. Learn responsible AI practices that protect communities and data. Explore case studies, templates, and implementation strategies for fundraising, programs, and operations. Stay current with trends and ethics to lead your nonprofit’s digital transformation.</description><pubDate>Mon, 20 Jul 26 06:47:54 +0000</pubDate><language>en-us</language> <item><title>What Is Vibe Coding? The AI-Driven Shift in Software Development</title><link>https://leapnonprofit.org/what-is-vibe-coding-the-ai-driven-shift-in-software-development</link><pubDate>Mon, 20 Jul 26 06:47:54 +0000</pubDate><description>Discover vibe coding, the AI-driven development trend popularized by Andrej Karpathy. Learn how natural language replaces syntax, boosts productivity by 56%, and reshapes software engineering skills.</description><category>AI &amp; Machine Learning</category></item> <item><title>Copyright and Generative AI: Navigating Fair Use, Licensing, and Data Provenance in 2026</title><link>https://leapnonprofit.org/copyright-and-generative-ai-navigating-fair-use-licensing-and-data-provenance-in</link><pubDate>Sun, 19 Jul 26 05:58:48 +0000</pubDate><description>Navigating the complex legal landscape of generative AI copyright in 2026. Explore fair use doctrines, licensing strategies, and data provenance best practices following the USCO 2025 report.</description><category>AI Regulation &amp; Compliance</category></item> <item><title>How to Plan Memory for LLM Inference and Avoid OOM Errors</title><link>https://leapnonprofit.org/how-to-plan-memory-for-llm-inference-and-avoid-oom-errors</link><pubDate>Sat, 18 Jul 26 05:55:24 +0000</pubDate><description>Learn how to plan memory for LLM inference to avoid OOM errors. Explore techniques like CAMELoT, Larimar, and Dynamic Memory Sparsification to optimize performance.</description><category>AI &amp; Machine Learning</category></item> <item><title>How to Use LLMs for Data Extraction and Labeling: A Practical Guide</title><link>https://leapnonprofit.org/how-to-use-llms-for-data-extraction-and-labeling-a-practical-guide</link><pubDate>Fri, 17 Jul 26 05:50:03 +0000</pubDate><description>Learn how to use LLMs like GPT-4o and Llama for automated data extraction and labeling. Discover practical workflows, validation strategies, and tools to turn unstructured text into structured insights.</description><category>AI &amp; Machine Learning</category></item> <item><title>Why High LLM Benchmark Scores Fail in Production: The Offline vs. Real-World Gap</title><link>https://leapnonprofit.org/why-high-llm-benchmark-scores-fail-in-production-the-offline-vs.-real-world-gap</link><pubDate>Thu, 16 Jul 26 06:13:16 +0000</pubDate><description>Discover why high LLM benchmark scores often fail in production. We analyze the gap between offline testing and real-world performance, offering practical strategies for accurate evaluation.</description><category>AI &amp; Machine Learning</category></item> <item><title>Measuring and Reporting LLM Spend: Dashboards and KPIs That Matter</title><link>https://leapnonprofit.org/measuring-and-reporting-llm-spend-dashboards-and-kpis-that-matter</link><pubDate>Wed, 15 Jul 26 05:58:30 +0000</pubDate><description>Master LLM cost control with essential KPIs and dashboard strategies. Learn to track cost per success, detect anomalies, and attribute spend accurately to stop budget overruns.</description><category>AI &amp; Machine Learning</category></item> <item><title>Demystifying LLMs: A Practical Guide to Transparency and Explainability in AI Decisions</title><link>https://leapnonprofit.org/demystifying-llms-a-practical-guide-to-transparency-and-explainability-in-ai-decisions</link><pubDate>Tue, 14 Jul 26 06:00:43 +0000</pubDate><description>Explore the critical challenges of transparency and explainability in Large Language Models. Learn how data provenance, XAI methods, and regulatory pressures shape trustworthy AI in high-stakes fields.</description><category>AI &amp; Machine Learning</category></item> <item><title>Red Teaming Large Language Models: A Practical Guide to Offensive AI Security Testing</title><link>https://leapnonprofit.org/red-teaming-large-language-models-a-practical-guide-to-offensive-ai-security-testing</link><pubDate>Mon, 13 Jul 26 06:05:28 +0000</pubDate><description>Learn how to secure LLMs through red teaming. Explore tools like NVIDIA garak and Promptfoo, compare manual vs automated testing, and implement offensive security strategies to prevent prompt injection and data leaks.</description><category>AI &amp; Machine Learning</category></item> <item><title>Security Code Review for AI Output: Essential Checklists for Verification Engineers</title><link>https://leapnonprofit.org/security-code-review-for-ai-output-essential-checklists-for-verification-engineers</link><pubDate>Sun, 12 Jul 26 06:05:35 +0000</pubDate><description>Learn how verification engineers can secure AI-generated code with expert checklists, SAST integration, and OWASP-aligned strategies to mitigate rising vulnerabilities.</description><category>AI &amp; Machine Learning</category></item> <item><title>Telemetry and Privacy in Vibe Coding Tools: What Data Leaves Your Repo</title><link>https://leapnonprofit.org/telemetry-and-privacy-in-vibe-coding-tools-what-data-leaves-your-repo</link><pubDate>Sat, 11 Jul 26 06:03:38 +0000</pubDate><description>Explore how vibe coding tools handle telemetry and privacy. Learn what data leaves your repo, how OpenTelemetry works, and how to secure your workflow with Claude Code, Gemini, and more.</description><category>Tools &amp; Platforms</category></item> <item><title>Stakeholder Review Processes for Ethical LLM Use: A Practical Guide to Bias &amp; Fairness</title><link>https://leapnonprofit.org/stakeholder-review-processes-for-ethical-llm-use-a-practical-guide-to-bias-fairness</link><pubDate>Fri, 10 Jul 26 06:02:55 +0000</pubDate><description>Learn how stakeholder review processes mitigate bias and ensure fairness in Large Language Models. Discover practical frameworks, regulatory requirements like the EU AI Act, and steps to implement ethical AI governance effectively.</description><category>AI Regulation &amp; Compliance</category></item> <item><title>Long-Context AI in 2026: Memory, Recall, and Persistent State Explained</title><link>https://leapnonprofit.org/long-context-ai-in-2026-memory-recall-and-persistent-state-explained</link><pubDate>Thu, 09 Jul 26 06:31:05 +0000</pubDate><description>Explore the 2026 shift in generative AI from simple context windows to persistent memory. Learn how NVIDIA TTT-E2E and Google Titans solve the context wall with new architectures for recall and state.</description><category>AI &amp; Machine Learning</category></item> <item><title>RAG Patterns That Improve Accuracy: A Guide to Search-Augmented LLMs</title><link>https://leapnonprofit.org/rag-patterns-that-improve-accuracy-a-guide-to-search-augmented-llms</link><pubDate>Wed, 08 Jul 26 06:26:43 +0000</pubDate><description>Learn how Retrieval-Augmented Generation (RAG) patterns like hybrid search and self-RAG boost LLM accuracy by up to 60%. Discover practical implementation tips and trade-offs.</description><category>AI &amp; Machine Learning</category></item> <item><title>Standards for Generative AI Interoperability: APIs, Formats, and LLMOps</title><link>https://leapnonprofit.org/standards-for-generative-ai-interoperability-apis-formats-and-llmops</link><pubDate>Tue, 07 Jul 26 06:05:22 +0000</pubDate><description>Explore the new standards for Generative AI interoperability, focusing on the Model Context Protocol (MCP), LLMOps, and regulatory compliance. Learn how MCP 1.0 simplifies API integration, reduces costs, and meets EU AI Act requirements.</description><category>AI &amp; Machine Learning</category></item> <item><title>Autonomous Ticket Resolution: How Domain-Specific LLM Agents Transform Support</title><link>https://leapnonprofit.org/autonomous-ticket-resolution-how-domain-specific-llm-agents-transform-support</link><pubDate>Mon, 06 Jul 26 06:26:24 +0000</pubDate><description>Discover how domain-specific LLM agents automate IT support with 95% accuracy. Learn about autonomous ticket resolution, implementation steps, and real-world benefits for modern ITSM.</description><category>AI &amp; Machine Learning</category></item> <item><title>Safety-Aware Prompting: How to Protect Generative AI from Leaks and Attacks</title><link>https://leapnonprofit.org/safety-aware-prompting-how-to-protect-generative-ai-from-leaks-and-attacks</link><pubDate>Sun, 05 Jul 26 06:31:09 +0000</pubDate><description>Learn how to protect your business from data leaks and attacks with safety-aware prompting. Discover core habits, defense strategies, and best practices for secure Generative AI usage in 2026.</description><category>AI &amp; Machine Learning</category></item> <item><title>Benchmark Transfer After Fine-Tuning: How LLMs Generalize Across Tasks</title><link>https://leapnonprofit.org/benchmark-transfer-after-fine-tuning-how-llms-generalize-across-tasks</link><pubDate>Sat, 04 Jul 26 05:50:03 +0000</pubDate><description>Explore how LLMs maintain general intelligence after fine-tuning. Learn about benchmark transfer, catastrophic forgetting, and PEFT strategies like LoRA to balance specialization and generalization.</description><category>AI &amp; Machine Learning</category></item> <item><title>Service Boundaries in Vibe Coding: Preventing Tight Coupling from Prompts</title><link>https://leapnonprofit.org/service-boundaries-in-vibe-coding-preventing-tight-coupling-from-prompts</link><pubDate>Fri, 03 Jul 26 08:04:12 +0000</pubDate><description>Learn how to prevent tight coupling in vibe coding by defining strict service boundaries. Discover strategies like modular monoliths, ADRs, and agent-centric workflows to keep AI-generated code clean and maintainable.</description><category>AI &amp; Machine Learning</category></item> <item><title>Build vs Buy Generative AI: A Strategic Decision Framework for CIOs in 2026</title><link>https://leapnonprofit.org/build-vs-buy-generative-ai-a-strategic-decision-framework-for-cios-in</link><pubDate>Thu, 02 Jul 26 06:11:24 +0000</pubDate><description>A strategic guide for CIOs navigating the build vs buy decision for generative AI platforms. Compare costs, timelines, and risks to choose the right path for your enterprise.</description><category>Technology &amp; Strategy</category></item> <item><title>How to Measure Generative AI Content Quality: Readability, Accuracy, and Consistency</title><link>https://leapnonprofit.org/how-to-measure-generative-ai-content-quality-readability-accuracy-and-consistency</link><pubDate>Wed, 01 Jul 26 05:58:26 +0000</pubDate><description>Learn how to measure generative AI content quality using readability, accuracy, and consistency metrics. Discover tools, benchmarks, and best practices for 2026.</description><category>AI &amp; Machine Learning</category></item> <item><title>Data-Centric vs Model-Centric Scaling: Which Strategy Wins for LLM Quality in 2026?</title><link>https://leapnonprofit.org/data-centric-vs-model-centric-scaling-which-strategy-wins-for-llm-quality-in</link><pubDate>Tue, 30 Jun 26 06:15:46 +0000</pubDate><description>Explore the shift from model-centric to data-centric scaling in LLMs. Learn how optimizing data quality and compression improves AI efficiency and quality in 2026.</description><category>AI &amp; Machine Learning</category></item> <item><title>AI Code Is Guilty Until Proven Secure: A Policy Framework for Teams</title><link>https://leapnonprofit.org/ai-code-is-guilty-until-proven-secure-a-policy-framework-for-teams</link><pubDate>Mon, 29 Jun 26 06:18:34 +0000</pubDate><description>Learn how to implement a 'guilty until proven secure' policy for AI-generated code. This guide covers zero-trust frameworks, NIST AI RMF alignment, and technical controls to protect your team from AI-induced vulnerabilities.</description><category>AI Regulation &amp; Compliance</category></item> <item><title>Generative AI Audits: Independent Assessments, Certifications, and Compliance Guide</title><link>https://leapnonprofit.org/generative-ai-audits-independent-assessments-certifications-and-compliance-guide</link><pubDate>Sun, 28 Jun 26 06:25:52 +0000</pubDate><description>Learn how independent AI audits ensure compliance with EU AI Act, NIST RMF, and ISO standards. Discover steps to prepare for generative AI certifications.</description><category>AI Regulation &amp; Compliance</category></item> <item><title>Data Strategy for Generative AI: Quality, Access, and Security Guide</title><link>https://leapnonprofit.org/data-strategy-for-generative-ai-quality-access-and-security-guide</link><pubDate>Sat, 27 Jun 26 06:26:17 +0000</pubDate><description>Learn how to build a robust data strategy for generative AI. This guide covers essential pillars: data quality, access via RAG, and security governance to maximize ROI and minimize risks.</description><category>AI &amp; Machine Learning</category></item> <item><title>Database Schema Design with AI: Validating Models and Migrations</title><link>https://leapnonprofit.org/database-schema-design-with-ai-validating-models-and-migrations</link><pubDate>Fri, 26 Jun 26 05:58:27 +0000</pubDate><description>Learn how to use AI for database schema design, focusing on validating models for integrity and executing safe migrations. Covers PostgreSQL, MySQL, and best practices for 2026.</description><category>Tools &amp; Platforms</category></item> <item><title>Design-to-Code Pipelines: Turning Figma Mockups into Frontend with v0</title><link>https://leapnonprofit.org/design-to-code-pipelines-turning-figma-mockups-into-frontend-with-v0</link><pubDate>Thu, 25 Jun 26 06:32:49 +0000</pubDate><description>Learn how to turn Figma mockups into production-ready React code using v0.dev. Explore design-to-code pipelines, best practices for preparation, and how to build scalable frontend systems with AI.</description><category>Tools &amp; Platforms</category></item> <item><title>State-Level Generative AI Laws: California, Colorado, Illinois, and Utah (2026 Guide)</title><link>https://leapnonprofit.org/state-level-generative-ai-laws-california-colorado-illinois-and-utah-2026-guide</link><pubDate>Wed, 24 Jun 26 06:00:38 +0000</pubDate><description>Navigate the complex patchwork of US state-level generative AI laws. This guide details the strict transparency and accountability requirements in California, the insurance-focused rules in Colorado, biometric protections in Illinois, and the minimal approach in Utah.</description><category>AI Regulation &amp; Compliance</category></item> <item><title>Laws That Break: Where Large Language Model Scaling Expectations Fail</title><link>https://leapnonprofit.org/laws-that-break-where-large-language-model-scaling-expectations-fail</link><pubDate>Tue, 23 Jun 26 05:59:48 +0000</pubDate><description>Explore where AI scaling laws fail: from Chinchilla's compute corrections to RL instability and safety gaps. Learn why bigger isn't always better in 2026.</description><category>AI &amp; Machine Learning</category></item> <item><title>Executive Education on Generative AI: A Strategy Guide for Boards and C-Suite Leaders</title><link>https://leapnonprofit.org/executive-education-on-generative-ai-a-strategy-guide-for-boards-and-c-suite-leaders</link><pubDate>Mon, 22 Jun 26 06:46:16 +0000</pubDate><description>A strategy guide for boards and C-suite leaders on choosing the right executive education in Generative AI. Compare top programs from MIT, Wharton, and Kellogg, covering costs, curricula, and ROI.</description><category>Technology &amp; Strategy</category></item> <item><title>Evaluating Reasoning Models: Think Tokens, Steps, and Accuracy Tradeoffs</title><link>https://leapnonprofit.org/evaluating-reasoning-models-think-tokens-steps-and-accuracy-tradeoffs</link><pubDate>Sun, 21 Jun 26 06:09:56 +0000</pubDate><description>Explore the tradeoffs of reasoning models: think tokens boost accuracy but spike costs. Learn when to use LRMs, how to optimize with CTS, and avoid common pitfalls in 2026.</description><category>AI &amp; Machine Learning</category></item> <item><title>Grounding Reasoning with External Verifiers in LLMs: A Practical Guide</title><link>https://leapnonprofit.org/grounding-reasoning-with-external-verifiers-in-llms-a-practical-guide</link><pubDate>Sat, 20 Jun 26 05:53:51 +0000</pubDate><description>Learn how grounding reasoning with external verifiers fixes LLM hallucinations. Explore frameworks like CoRGI, FOLK, and GRiD that use logic, visuals, and dependencies to ensure AI accuracy.</description><category>AI &amp; Machine Learning</category></item> <item><title>Reranking Methods to Boost RAG Relevance for LLM Responses</title><link>https://leapnonprofit.org/reranking-methods-to-boost-rag-relevance-for-llm-responses</link><pubDate>Fri, 19 Jun 26 05:56:32 +0000</pubDate><description>Boost RAG accuracy with reranking methods. Learn how cross-encoders and LLM-based rerankers improve precision, reduce hallucinations, and optimize retrieval pipelines for enterprise AI.</description><category>AI &amp; Machine Learning</category></item> <item><title>Managed APIs vs Self-Hosted Models: Choosing the Right LLM Strategy in 2026</title><link>https://leapnonprofit.org/managed-apis-vs-self-hosted-models-choosing-the-right-llm-strategy-in</link><pubDate>Thu, 18 Jun 26 05:56:44 +0000</pubDate><description>Decide between managed APIs and self-hosted LLMs. We compare costs, privacy, and control to help you pick the right AI strategy for your business in 2026.</description><category>AI &amp; Machine Learning</category></item> <item><title>Vibe Coding in Distributed Teams: Use Cases for Faster Global Shipping</title><link>https://leapnonprofit.org/vibe-coding-in-distributed-teams-use-cases-for-faster-global-shipping</link><pubDate>Wed, 17 Jun 26 06:03:52 +0000</pubDate><description>Discover how vibe coding transforms distributed teams. Learn real use cases, including Netlify's savings, and strategies to ship software faster using AI.</description><category>AI &amp; Machine Learning</category></item> <item><title>Compliance Controls for Vibe-Coded Systems: SOC 2, ISO 27001, and More</title><link>https://leapnonprofit.org/compliance-controls-for-vibe-coded-systems-soc-2-iso-27001-and-more</link><pubDate>Tue, 16 Jun 26 05:53:15 +0000</pubDate><description>Learn how to maintain SOC 2 and ISO 27001 compliance in the era of vibe coding. Discover technical controls, audit trail strategies, and implementation steps for securing AI-generated code.</description><category>AI Regulation &amp; Compliance</category></item> <item><title>Confidential Computing for LLM Inference: TEEs and Encryption-in-Use Explained</title><link>https://leapnonprofit.org/confidential-computing-for-llm-inference-tees-and-encryption-in-use-explained</link><pubDate>Mon, 15 Jun 26 06:00:27 +0000</pubDate><description>Learn how confidential computing and TEEs protect LLM inference with encryption-in-use. Compare AWS, Azure, and NVIDIA solutions for secure AI deployment.</description><category>AI &amp; Machine Learning</category></item> <item><title>Understanding Bias in Large Language Models: Sources, Types, and Risks</title><link>https://leapnonprofit.org/understanding-bias-in-large-language-models-sources-types-and-risks</link><pubDate>Sun, 14 Jun 26 05:54:48 +0000</pubDate><description>Explore the sources, types, and real-world risks of bias in Large Language Models. Learn how data selection, architecture, and cultural gaps create unfair AI outcomes, and discover proven mitigation strategies.</description><category>AI &amp; Machine Learning</category></item> <item><title>Why BLEU Scores Are Dead: The Rise of LLM-as-a-Judge Metrics in NLP</title><link>https://leapnonprofit.org/why-bleu-scores-are-dead-the-rise-of-llm-as-a-judge-metrics-in-nlp</link><pubDate>Sat, 13 Jun 26 06:06:52 +0000</pubDate><description>Explore why BLEU scores are failing modern AI and how LLM-as-a-Judge metrics provide a more accurate, human-aligned way to evaluate text generation quality.</description><category>AI &amp; Machine Learning</category></item> <item><title>How Ethical Review Boards for Generative AI Work: Process, Criteria, and Real Outcomes</title><link>https://leapnonprofit.org/how-ethical-review-boards-for-generative-ai-work-process-criteria-and-real-outcomes</link><pubDate>Fri, 12 Jun 26 06:00:50 +0000</pubDate><description>Discover how Ethical Review Boards for Generative AI function, including their composition, the 7-step review process, key selection criteria, and real-world outcomes in mitigating risk and ensuring compliance.</description><category>AI Regulation &amp; Compliance</category></item> <item><title>How Training Duration and Token Counts Affect LLM Generalization</title><link>https://leapnonprofit.org/how-training-duration-and-token-counts-affect-llm-generalization</link><pubDate>Thu, 11 Jun 26 05:55:38 +0000</pubDate><description>Explore how training duration and token counts impact LLM generalization. Learn why more data isn't always better and discover strategies like variable sequence length curriculum to boost performance.</description><category>AI &amp; Machine Learning</category></item> <item><title>Open-Weight vs Proprietary AI: Architectural Implications for 2026</title><link>https://leapnonprofit.org/open-weight-vs-proprietary-ai-architectural-implications-for</link><pubDate>Wed, 10 Jun 26 05:55:26 +0000</pubDate><description>Explore the architectural trade-offs between open-weight and proprietary AI models in 2026. Learn how transparency, infrastructure costs, and security impact your system design.</description><category>AI &amp; Machine Learning</category></item> <item><title>Vibe Coding Explained: How AI Is Democratizing Software Development in 2026</title><link>https://leapnonprofit.org/vibe-coding-explained-how-ai-is-democratizing-software-development-in</link><pubDate>Tue, 09 Jun 26 05:51:29 +0000</pubDate><description>Discover how vibe coding is democratizing software development in 2026. Learn who can build apps now, compare AI coding with no-code, and avoid common pitfalls.</description><category>AI &amp; Machine Learning</category></item> <item><title>When Large Language Models Should Abstain: Designing Safe Non-Answers</title><link>https://leapnonprofit.org/when-large-language-models-should-abstain-designing-safe-non-answers</link><pubDate>Mon, 08 Jun 26 06:01:52 +0000</pubDate><description>Explore how Large Language Models can be designed to safely abstain from answering when uncertain. Learn about Abstention Ability, technical mechanisms like verifiers and thresholds, and why saying 'I don't know' improves AI reliability.</description><category>AI &amp; Machine Learning</category></item> <item><title>Outcome-Driven Development: Managing Requirements in Vibe Coding Projects</title><link>https://leapnonprofit.org/outcome-driven-development-managing-requirements-in-vibe-coding-projects</link><pubDate>Sun, 07 Jun 26 06:09:51 +0000</pubDate><description>Learn how to manage requirements in vibe coding projects using Outcome-Driven Development. Discover strategies for structure, security, and vertical slicing.</description><category>AI &amp; Machine Learning</category></item> <item><title>Hybrid Recurrent-Transformer Models: Do They Actually Improve LLMs?</title><link>https://leapnonprofit.org/hybrid-recurrent-transformer-models-do-they-actually-improve-llms</link><pubDate>Sat, 06 Jun 26 05:56:18 +0000</pubDate><description>Explore whether hybrid recurrent-transformer designs improve LLMs. We analyze Mamba-Transformer mixes, sequential vs parallel structures, and real-world examples like Hunyuan-TurboS.</description><category>AI &amp; Machine Learning</category></item> <item><title>HR Automation with Generative AI: Job Descriptions, Interview Guides, and Onboarding</title><link>https://leapnonprofit.org/hr-automation-with-generative-ai-job-descriptions-interview-guides-and-onboarding</link><pubDate>Fri, 05 Jun 26 06:01:27 +0000</pubDate><description>Explore how generative AI transforms HR automation for job descriptions, interview guides, and onboarding. Learn about costs, risks, and top tools like Gloat and HireVue.</description><category>AI &amp; Machine Learning</category></item> <item><title>Training Data Disclosures for Generative AI: New Rules and Strategies for 2026</title><link>https://leapnonprofit.org/training-data-disclosures-for-generative-ai-new-rules-and-strategies-for</link><pubDate>Thu, 04 Jun 26 06:04:52 +0000</pubDate><description>California's AB 2013 mandates training data disclosures for generative AI. Learn the 12 required data points, strategies to protect trade secrets, and how to comply by 2026.</description><category>AI Regulation &amp; Compliance</category></item> <item><title>Cross-Attention in Encoder-Decoder Transformers: How LLMs Handle Conditioning</title><link>https://leapnonprofit.org/cross-attention-in-encoder-decoder-transformers-how-llms-handle-conditioning</link><pubDate>Wed, 03 Jun 26 06:01:01 +0000</pubDate><description>Explore how cross-attention mechanisms enable encoder-decoder transformers to condition outputs on input contexts. Learn the mechanics, benefits for machine translation, and applications in multimodal AI.</description><category>AI &amp; Machine Learning</category></item> <item><title>Tool Use with Large Language Models: Function Calling and External APIs Guide</title><link>https://leapnonprofit.org/tool-use-with-large-language-models-function-calling-and-external-apis-guide</link><pubDate>Tue, 02 Jun 26 05:53:16 +0000</pubDate><description>Learn how function calling enables Large Language Models to use external APIs and tools. Compare GPT, Claude, and Gemini implementations, explore security risks, and get practical tips for building reliable AI agents.</description><category>AI &amp; Machine Learning</category></item> <item><title>Template Repos with Pre-Approved Dependencies for Vibe Coding: A Governance Guide</title><link>https://leapnonprofit.org/template-repos-with-pre-approved-dependencies-for-vibe-coding-a-governance-guide</link><pubDate>Mon, 01 Jun 26 05:50:03 +0000</pubDate><description>Explore how template repos with pre-approved dependencies govern vibe coding workflows, ensuring security, consistency, and compliance in AI-assisted development.</description><category>AI Regulation &amp; Compliance</category></item></channel></rss>