Blogs on 'artificial intelligence' tag
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Why Does an LLM Ignore Instructions Near the End of My Prompt?
Why might an LLM follow some prompt requirements but overlook others near the end? Explore how instruction order, conflicting rules, prompt length, and testing affect the behavior.
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Is Dynamic LLM Routing Worth the Complexity?
When an app can call several LLM providers, should each request be routed to a different model? Explore the tradeoffs around task classification, latency, fallbacks, and measuring whether routing helps.
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How Do I Prevent AI-Generated HTML from Creating an XSS Vulnerability?
When an AI feature displays Markdown or HTML-like model responses, what prevents that content from becoming an XSS risk? This question explores safe rendering choices, sanitization, and link handling.
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Can I Send the Same Prompt to Two LLM Providers and Use the First Response?
Would sending one prompt to two AI providers improve response time, or introduce hidden costs and reliability risks? Explore hedged requests, cancellation, streaming, tools, and data handling.
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Why Does an LLM Return Invalid JSON, and How Should My API Handle It?
Why can an LLM produce invalid or unusable JSON even when prompted to follow a format? Explore structured outputs, validation, and practical recovery choices for API integrations.
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How Do I Stop Search Results from Hijacking an LLM Prompt?
Can text inside a search result change how an AI assistant follows its instructions? Explore indirect prompt injection risks in search-connected LLMs, from retrieved content and tool access to testing model behavior.
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How Can I Keep LLM API Costs Predictable When Usage Spikes?
What happens to an AI feature’s API bill when usage surges? This question looks at token usage, rate limits, retries, fallbacks, and the safeguards worth considering.
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How Should I Choose Between OpenAI, Claude, Grok, Perplexity, and DeepSeek for One AI Workflow?
Choosing an AI model for a product workflow raises questions about task fit, prompt testing, source quality, cost, and API integration. How are you comparing OpenAI, Claude, Grok, Perplexity, and DeepSeek?
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Atlassian Wants AI Agents on the Software Team
Atlassian is positioning AI agents as collaborators in software work. Here’s what that could mean for Jira and Confluence teams, and the questions around trust and oversight.
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Create an AI App Using the Latest Microsoft 365 Agents Toolkit Template
Learn how to create your first AI app with the latest Microsoft 365 Agents Toolkit template. A beginner-friendly guide with JavaScript code, comments, Azure Ope
