Chain-of-Thought Reasoning Is Not Always FaithfulThis study reveals that Chain-of-Thought (CoT) reasoning in advanced Language Models can be unfaithful to their actual decision-making…4d ago14d ago1
Social Media Themes Extractor for AI Agent CommunicationThis study introduces a framework that automates thematic analysis based on social media…4d ago14d ago1
Conversational Planning For Conversational UIs — Research from Google DeepMindThe focus is shifting over time do different elements of the AI Agent architecture.6d ago6d ago
Language Model Distillation DemystifiedModel Distillation is the process of using Large Language Model output to fine-tune Small Language Models…6d ago16d ago1
AI Agents Are Changing Our Relationship With DataI would argue that at the heart of Information Technology lies our evolving relationship with information.Mar 141Mar 141
MCP Desktop ImplementationModel Context Protocol (MCP) is a framework designed to help AI models access and interact with various external tools & services.Mar 13Mar 13
Model Context Protocol (MCP): A PrimerModel Context Protocol (MCP) is a framework that standardises how AI models represent and process context, enabling more consistent and…Mar 12Mar 12
Model Context Protocol (MCP)I would like to make a point regarding the Model Context Protocol (MCP)…Mar 112Mar 112
Using LangChain With Model Context Protocol (MCP)The Model Context Protocol (MCP) is an open-source protocol developed by Anthropic, focusing on safe and interpretable Generative AI…Mar 102Mar 102
AI Agents Are Much More Vulnerable Than LLM-Based ApplicationsResearch shows that AI Agents are more vulnerable compared to standalone Large Language Models (LLMs), this stands to reason considering…Mar 72Mar 72
