News
CitySim: Modeling Urban Behaviors and City Dynamics with Large-Scale LLM-Driven Agent Simulation
arXiv:2506.21805v1 Announce Type: cross Abstract: Modeling human behavior in urban environments is fundamental for social...
Cisco Foundation AI Releases Antares: 350M and 1B Open-Weight Models That Localize Known Vulnerabilities Inside Real Codebases
Cisco Foundation AI has released Antares, a family of security small language models (SLMs) built...
Chunking vs. Tokenization: Key Differences in AI Text Processing
Table of contents Introduction What is Tokenization? What is Chunking? The Key Differences That Matter...
ChronoPlay: A Framework for Modeling Dual Dynamics and Authenticity in Game RAG Benchmarks
arXiv:2510.18455v1 Announce Type: new Abstract: Retrieval Augmented Generation (RAG) systems are increasingly vital in dynamic...
Chronicals: A High-Performance Framework for LLM Fine-Tuning with 3.51x Speedup over Unsloth
arXiv:2601.02609v1 Announce Type: cross Abstract: Large language model fine-tuning is bottlenecked by memory: a 7B...
Chroma Releases Context-1: A 20B Agentic Search Model for Multi-Hop Retrieval, Context Management, and Scalable Synthetic Task Generation
In the current AI landscape, the ‘context window’ has become a blunt instrument. We’ve been...
Choosing the Right AI Agent Memory Strategy: A Decision-Tree Approach
In this article, you will learn how to choose the right memory strategy for an...
Choosing the Right Agentic AI Framework for 2026: A Decision-Tree Approach
In this article, you will learn how to choose the right agentic AI framework for...
Choosing Between PCA and t-SNE for Visualization
For data scientists, working with high-dimensional data is part of daily life...
Choosing an LLM Inference Optimization Technique: A Decision-Tree Approach
In this article, you will learn how to match an LLM inference optimization technique to...
Choosing a Chunking Strategy for Your LLM Apps: A Decision-Tree Approach
In this article, you will learn how to choose the right chunking strategy for a...
