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Gigapixel Pathology: MIVPG Outperforms Baselines in Medical Captioning
MIVPG significantly outperforms baselines by using instance correlation and shows strong domain adaptation over epochs.
When Context Becomes a Drug: The Engineering Highs and Hangovers of Long-Term LL...
Longer memory doesn’t make AI smarter; it makes it sluggish and confused. Real progress lies in engineered amnesia: compressing me...
Your AI Co-Pilot Needs a Human Boss: Building a Real Human-in-the-Loop Workflow...
The real power comes when you architect a system where the human is the final, strategic checkpoint. The human is not just a user;...
How to Build Your First MCP Server using FastMCP
Model Context Protocol, or MCP, is changing how large language models connect with data and tools. MCP is like the USB-C port for...
What the Big Three Consultancies are Missing About AI (And the Code That Proves...
A powerful consensus is forming among the world's top strategy advisors. Deloitte, BCG, and McKinsey are forming a consensus on th...
Multi-Task vs. Single-Task ICR: Quantifying the High Sensitivity to Distractor F...
The results highlight ICR's vulnerability to interference and motivate the need for more robust, distraction-mitigating approaches...
Evaluating Systematic Generalization: The Use of ProofWriter and CLUTRR-SG in LL...
This article provides a detailed description of two multi-hop logical reasoning datasets: ProofWriter and CLUTRR-SG.
From 50 Pages of Handwritten Notes to a Digital Manuscript with Python and AI
Apple's HEIC (High-Efficiency Image Container) is great for saving space, but not so great for compatibility. Many APIs and librar...
RECKONING: Reasoning through Dynamic Knowledge Encoding: Generalization to Real-...
This article evaluates RECKONING's generalizability on the real-world multi-hop logical reasoning task, FOLIO.
From Black Box to Transparent: How to Read the Inner Logic of LLMs
Large language models (LLMs) like ChatGPT don’t truly “think” — they use massive datasets + probability to predict the next word....
Prompt vs Feature Engineering: The Hidden Bridge Between Humans and Machines
Both Prompt Engineering and Feature Engineering serve the same invisible purpose — turning messy human intent into something machi...
