SkyworkAI / SkyworkAI/Skywork-R1V

[APEX研究] 🤖 AGI 路线 昆仑 Skywork 前沿技术与 AGI 路线图

Open
#61 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Python
Stars
3.2k
Forks
282
PR merge metrics
No merged PRs in 30d

Description

🤖 AGI 路线图 & 前沿技术布局:昆仑 Skywork

前沿方向
  • 测试时计算(Test-Time Compute):是否已有相关研究?
  • 合成数据:训练数据的 Scaling Law 突破
  • 多模态融合:文本+图像+语音+视频统一模型
  • Agent/Tool Use:工具调用、代码执行、自主规划
领域前沿对比
方向 DeepSeek Qwen 3 昆仑 Skywork
测试时计算 R1 系列领先 已集成 ?
长上下文 128K 1M (Qwen3-1M) ?
MoE 路由 DeepSeekMoE 部分版本 ?
多模态 空白 VL/Omni/TTS ?
建议讨论
  1. AGI 路线图中,昆仑 Skywork 的长期技术愿景是什么?
  2. 是否在布局 RLHF/RL 以外的对齐技术?
  3. 如何应对推理能力(数学/编程)的持续进化需求?

本 Issue 由 AGI 研究者提交,供团队参考讨论。

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

No source file, test, or implementation entry point is identified. Start by reviewing the repository scope and the issue's listed research directions, then seek clarification on the expected deliverable, evidence, and ownership. Done should be defined as an agreed roadmap or a concrete implementation task.

Written by the indexing model from the issue text.

Assessment

Domain
ai, machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
20/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.