Local Language Models Chart New Terrain with Fuzzy Cognitive Maps
Local LLMs like Qwen2.5-32B demonstrate new capabilities in building data-driven fuzzy cognitive maps, reshaping how we interpret qualitative data.
Read the full articleYou might also wanna read
LLMs Can Describe Their Own Internal Decision-Making Processes, New Research Shows
We have only limited understanding of how and why large language models (LLMs) respond in the ways that they do. Their neural networks have
Revisiting local LLMs for coding: A 4-week hands-on assessment
Notes from my Thoughtworks colleagues on AI-assisted software delivery
Revisiting local LLMs for coding: A 4-week hands-on assessment
Notes from my Thoughtworks colleagues on AI-assisted software delivery
Revisiting local LLMs for coding: A 4-week hands-on assessment
Notes from my Thoughtworks colleagues on AI-assisted software delivery
Scaling LLMs Improves Social Simulation Fidelity in Most Cases, But Fails on Cognitive Biases
Large Language Model (LLM) social simulations are a promising research method, but they are not yet faithful enough to be adopted widely. In

Lacuna: A Research Map for Machine Learning
Authors: Martin Weiss, Miles Q.
Language-Based Digital Twin Framework Uses LLMs for Non-Invasive Cognitive Health Monitoring in Elderly
Digital twins have emerged as a promising paradigm for personalized healthcare, enabling modeling of individual behavior and health trajecto

A Journey from AI to LLMs and MCP - 3 - Boosting LLM Performance – Fine-Tuning, Prompt Engineering, and RAG
## Free Resources - **[Free Apache Iceberg Course](

Comments
Sign in to join the conversation.
No comments yet. Be the first.