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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...
"We Are Very Early in Our Work With LLMs," - Prem Ramaswami, Head of Data Common...
Google Data Commons launched an MCP server to ground AI in verifiable public data from trusted sources like the UN, World Bank, an...
Stop Hallucinations at the Source: Hybrid RAG That Checks Itself
Stop hallucinations. Validate every answer. Combine vector and graph search. We built DocuChat to solve real RAG problems in produ...
Ethos Ex Machina: How AI Creates Trust Without Truth
AI-generated texts gain trust not through evidence but through structure. Passive voice, fake balance, and false references simula...
