AIAIAny
  • Search
  • Collection
  • Category
  • Tag
  • Daily AI
AIAIAny

Tag

Explore by tags

AIAIAny

Curated AI Resources for Everyone

[email protected]

Powered by airss.app

Product
  • Search
  • Collection
  • Category
  • Tag
Resources
  • Blog
Company
  • Privacy Policy
  • Terms of Service
  • Sitemap
Copyright © 2026 All Rights Reserved.

  • All

  • 30u30

  • ASR

  • ChatGPT

  • GNN

  • IDE

  • RAG

  • agent-skills

  • ai

  • ai-agent

  • ai-api

  • ai-api-management

  • ai-client

  • ai-coding

  • ai-demos

  • ai-deploy

  • ai-development

  • ai-framework

  • ai-image

  • ai-image-demos

  • ai-inference

  • ai-leaderboard

  • ai-library

  • ai-rank

  • ai-serving

  • ai-tools

  • ai-train

  • ai-video

  • ai-workflow

  • AIGC

  • algorithms

  • alibaba

  • amazon

  • android

  • anthropic

  • arabic

  • audio

  • aws

  • benchmark

  • benchmarks

  • biology

  • blog

  • book

  • bun

  • bytedance

  • chatbot

  • chatgpt

  • chemistry

  • claude

  • claude-code

  • cli

  • code

  • codex

  • coding

  • coding-agents

  • common-crawl

  • copilot

  • course

  • cpu

  • cuda

  • cursor

  • deepmind

  • deepseek

  • depth

  • devops

  • diffusers

  • distillation

  • docker

  • drug-discovery

  • electron

  • embeddings

  • engineering

  • evaluation

  • facebook

  • finance

  • flow-matching

  • foundation

  • foundation-model

  • gcode

  • gcp

  • gemini

  • gemini-cli

  • gemma

  • genomics

  • gguf

  • gitHub

  • github

  • go

  • google

  • gradient-booting

  • grok

  • groq

  • huggingface

  • image

  • ios

  • java

  • javascript

  • json

  • kimi

  • kotlin

  • kubernetes

  • llama.cpp

  • LLM

  • llm

  • long-horizon

  • lora

  • mLOps

  • math

  • mcap

  • mcp

  • mcp-client

  • mcp-server

  • meta-ai

  • meta-pytorch

  • metal

  • microsoft

  • mlops

  • mobile

  • mocap

  • multilingual

  • multimodal

  • mysql

  • NLP

  • nlp

  • nodejs

  • numpy

  • nvidia

  • ocr

  • ollama

  • openai

  • opencode

  • pandas

  • paper

  • parquet

  • physics

  • pi

  • plugin

  • polars

  • postgres

  • privacy

  • programming

  • prompt-engineering

  • pwa

  • python

  • pytorch

  • qwen

  • react

  • reasoning

  • redis

  • refactoring

  • research

  • retrieval

  • RL

  • rl

  • robotics

  • rust

  • safetensors

  • science

  • security

  • segmentation

  • shodan

  • skillkit

  • software-engineering

  • sora

  • speech

  • sqlite

  • ssh

  • stt

  • supabase

  • swe

  • swift

  • tensorrt

  • terminal

  • trae

  • transformers

  • translation

  • tts

  • tutorial

  • typescript

  • vibe-coding

  • video

  • vision

  • vllm

  • voice

  • vue

  • vulkan

  • web-search

  • windsurf

  • xAI

  • xai

  • youtube

AI Agent Papers·2026
Icon for item

EnvHarness: Awakening Static Worlds for Agent Learning

Chengsong Huang, Zifeng Wang +15

Wraps static, hand-built environments with a programmable plug-in harness that reshapes environment behavior without changing underlying logic. EnvRigger automates diagnosis and synthesis of harness components from agent failure trajectories, validating edits via fresh rollouts to improve agent success and efficiency.

#agent-skills#RL#ai-agent#llm#benchmarks+2
AI Video Papers·2026
Icon for item

OmniAssistBench: Assistant-style Interaction Benchmark for Omni-LLMs

Xianyun Sun, Chaoyou Fu +7·Affiliation: Project Leader & Corresponding AuthorProject Page: https://xianyunsun.github.io/OmniAssistBench/, Affiliation: Nankai University +1

Benchmarks assistant-style, multi-turn interaction for omni-modal LLMs on real-time video by reverse-engineering Internet clips into guided multi-turn interactions. It provides predefined priors and segment-level constraints so models must follow exact routes while being evaluated on answer correctness, timing, visual-prompt handling, and context retention.

#multimodal#video#vision#llm#benchmark+5
AI Agent Papers·2026
Icon for item

Graph Engineering in the Era of LLM Agents: From Individual Intelligence to System Intelligence

Yuyuan Feng, Zhishang Xiang +33

Proposes “Graph Engineering”: using explicit, dynamic graphs to represent tasks, agents, tools, and system state so LLM-based agent systems can coordinate, persist, and evolve. Surveys principles, methods, applications, and curates related resources.

#LLM#ai-agent#agent-skills#GNN#ai-workflow+5
  • Previous
  • 1
  • 2
  • More pages
  • 50
  • 51
  • 52
  • Next