Harshala
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What is Context Window in AI and LLMs? [Non-Technical Explainer + FAQs Solved]
![What is Context Window in AI and LLMs? [Non-Technical Explainer + FAQs Solved]](https://appliedai.tools/wp-content/uploads/2025/12/image-1-e1764926978383.png)
The context window defines an AI’s information processing limits, impacting its problem-solving capabilities and influencing AI industry economics.
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8 Context Engineering Risks with Mitigation Strategies Explained
Context engineering’s rise presents critical infrastructure challenges for AI agents, exposing them to new security risks like indirect prompt injection, data leakage, and cognitive degradation, necessitating tailored mitigation strategies.
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Types of Context Engineering With Examples Explained
The transition from prompt to context engineering in AI aims to improve interaction by optimizing information environments for LLMs. This shift emphasizes strategies like writing, selecting, compressing, and isolating data effectively.
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Learn Context Engineering: Resource List (Lectures, Blogs, Tutorials)
Context engineering is vital for developing effective AI agents. This post compiles resources ranging from beginner to advanced levels, covering various aspects of context management. By following structured learning paths, practitioners evolve from prompt writers to context architects, enhancing AI system capabilities.
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What is Context Engineering? – Learn Approaches by OpenAI, Anthropic, LangChain
Context engineering is crucial for developing reliable AI agents, managing their entire information pipeline beyond just prompt engineering. It encompasses instructions, memory, knowledge retrieval, and tools, divided into four pillars. Effective management of context prevents degradation of AI performance, making sophisticated AI assistants effective in task completion.
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15 AI Product Insights for Usable, Scalable AI Products [ICONIQ 2025 Report]
![15 AI Product Insights for Usable, Scalable AI Products [ICONIQ 2025 Report]](https://appliedai.tools/wp-content/uploads/2025/09/Gemini_Generated_Image_utbzqhutbzqhutbz.png)
Learn 15 key insights from the state of AI for product builders report by ICONIQ. We emphasizes the shift from speculative features to creating agentic, outcome-driven workflows. Understand 15 actionable insights on AI product development across various stages, highlighting the importance of vendor management, cost control, user experience, and the need for dedicated AI leadership…
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5 ChatGPT Parental Controls: OpenAI Age Detection Tech Explained
OpenAI’s new age-prediction technology, announced on September 16, 2025, aims to enhance teen safety for ChatGPT amidst growing concerns over AI’s impact on youth mental health. This includes age-appropriate content filters, parental controls, and crisis response measures to address incidents linking AI chatbots to tragic outcomes among minors.
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10 Insights from Athens Summit with Greek PM Kyriakos Mitsotakis and DeepMind CEO Demis Hassabis
I found Greek Prime Minister Kyriakos Mitsotakis and DeepMind CEO Demis Hassabis’s interaction at the Athens Summit quiet insightful. Hence, I am sharing my key takeaways and included good quotes from them in this quick summary post. You can view the full interview here: Here’s the official transcript: Prime Minister Kyriakos Mitsotakis’ conversation with Demis…
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AI Event: Learn How to Use AI Agents for RevOps
Virtual roundtable on AI agents using customer interactions to enhance revenue operations and insights.
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Make the Most of Claude File Creation Feature
Claude’s new file creation capabilities revolutionize productivity by allowing users to create Excel, Word, PowerPoint, and PDF files directly through conversation. This transformation shifts AI from a simple advisor to an active collaborator, enabling complex tasks to be completed efficiently. Users can articulate needs and receive professional-quality outputs instantly, enhancing workplace efficiency.