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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...
Prompt Is the Hidden Commander Behind Every AI Output
The true power of large language models (LLMs) doesn’t just lie in their billions of parameters — it lies in how you talk to them....
Evaluating Dynamic Knowledge Encoding: Experimental Setup for Multi-Hop Logical...
This article details the experimental setup for evaluating RECKONING, a novel bi-level learning algorithm, on three diverse multi-...
RECKONING Method: Bi-Level Optimization for Dynamic Knowledge Encoding and Robus...
This article introduces RECKONING, a novel method utilizing bi-level optimization to teach language models to reason by dynamicall...
Tool Calling for Local AI Agents in C#
LM-Kit .NET SDK now supports tool calling for building AI agents in C#. Create on-device agents that discover, invoke, and chain t...
