arXiv:2608.24022v1 Announce Type: cross Abstract: LLM agents integrated with external resources gain complex task capabilities, yet the unified…
Tag: AI
Deep Cogito Raises $43M Series A to Build the Post-Training Engine for Self-Improving AI
Deep Cogito has raised a $43 million Series A as the San Francisco AI lab looks to scale an increasingly important part of the artificial intelligence…
Hybrid Semantic Tool Discovery for Enterprise MCP Gateway: Architecture and Implementation
arXiv:2608.23992v1 Announce Type: cross Abstract: Large language model (LLM) agents invoke external tools to retrieve and reason over information beyond…
I Tried Kimi Agent and Here’s What I Found
Kimi Agent is a name that’s come to cover a sprawling family, and untangling it matters before judging any piece of it.
SAGE: From Direct Answering to Evidence-Grounded Inference for Chinese Ancient Document Understanding
arXiv:2608.24011v1 Announce Type: cross Abstract: Chinese ancient document understanding demands complex visual, linguistic, and historical reasoning.…
The Empire, Long Divided, Must Unite: Architectural Convergence in Three LLM Agent Harnesses
arXiv:2608.23953v1 Announce Type: cross Abstract: An agent harness is what turns a language model into an autonomous agent: the surrounding code that…
Quantization-Aware Healing: a compressed, 4-bit model that outperforms its full-precision original
This post has no text preview — click the link below to read the original article. This article has been indexed from Hugging Face – Blog Read the original article: Quantization-Aware Healing: a compressed, 4-bit model that outperforms its full-precision…
Evaluating Language Models on Cross-Language Code Functional Equivalence
arXiv:2608.23961v1 Announce Type: cross Abstract: Background: Large Language Models (LLMs) have demonstrated strong performance across a variety of…
The Hugging Face incident and the road ahead
OpenAI shares findings from the Hugging Face security incident and the steps we’re taking to strengthen AI model security, monitoring, and alignment.
RAGSentinel: Certifiable Geometric Consensus for Robust Retrieval-Augmented Generation
arXiv:2608.23965v1 Announce Type: cross Abstract: Retrieval-augmented generation (RAG) improves the factuality of large language models by grounding…
