https://aibussin.com/tags/dynamic-reasoning/ Recent content in Dynamic Reasoning on AIBussin — AI applications, systems and books Hugo en-US Tue, 10 Mar 2026 21:58:14 +0000 https://aibussin.com/post/eck/ Tue, 10 Mar 2026 21:58:14 +0000 https://aibussin.com/post/eck/ <h2 id="-summary">🧭 Summary</h2> <p>Most modern AI systems treat intelligence as something stored inside a model.</p> <p>A neural network is trained on massive datasets, its weights are adjusted, and those weights become the system’s knowledge. When the model produces an output, we interpret that output as the result of the intelligence encoded inside those parameters.</p> <p>But this perspective has a limitation.</p> <p>Once training is complete, the model is largely static. It does not improve through its own actions, and it does not adapt based on the outcome of its behavior unless we retrain it.</p> https://aibussin.com/post/docs/ Tue, 17 Jun 2025 23:31:13 +0100 https://aibussin.com/post/docs/ <h2 id="-summary">📖 Summary</h2> <p>Imagine drowning in a sea of research papers, each holding a fragment of the knowledge you need for your next breakthrough. How does an AI system, striving for self-improvement, navigate this information overload to find precisely what it needs? This is the core challenge our Document Intelligence pipeline addresses, transforming chaotic documents into organized, searchable knowledge.</p> <p>In this post we combine insights from <a href="https://arxiv.org/pdf/2505.21497" target="_blank" class="paper-badge" style="display: inline-block; padding: 6px 10px; background: #f3f4f6; border-left: 4px solid #3b82f6; border-radius: 4px; margin: 4px 0; text-decoration: none; color: #1f2937;"> <strong>Paper2Poster</strong>: Towards Multimodal Poster Automation from Scientific Papers </a> and <a href="https://arxiv.org/abs/2506.10952" target="_blank" class="paper-badge" style="display: inline-block; padding: 6px 10px; background: #f3f4f6; border-left: 4px solid #3b82f6; border-radius: 4px; margin: 4px 0; text-decoration: none; color: #1f2937;"> <strong>Domain2Vec</strong>: Vectorizing Datasets to Find the Optimal Data Mixture without Training </a> to build an AI document profiler that transforms unstructured papers into structured, searchable knowledge graphs.</p>