AI-Insight

Riding the Wave of the AI Era Together

[AI-Insight @AI_Insight_Talk]

🚀Top 20 Likes of Hugging Face Daily Paper @_akhaliq @huggingface
🚀Congratulattion

https://t.co/oBMDtE8CgT

1、The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

2、Qwen2.5 Technical Report

3、MiniMax-01: Scaling Foundation Models with Lightning Attention

4、LLM in a flash: Efficient Large Language Model Inference with Limited Memory

5、Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

6、Llama 2: Open Foundation and Fine-Tuned Chat Models

7、rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

8、CLEAR: Character Unlearning in Textual and Visual Modalities

9、EMO: Emote Portrait Alive - Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions

10、GAIA: a benchmark for General AI Assistants

11、GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

12、DocLLM: A layout-aware generative language model for multimodal document understanding

13、3D Gaussian Splatting for Real-Time Radiance Field Rendering

14、Retentive Network: A Successor to Transformer for Large Language Models

15、Differential Transformer

16、Qwen2 Technical Report

17、Mixtral of Experts

18、Transformer Explainer: Interactive Learning of Text-Generative Models

19、Your Transformer is Secretly Linear

20、Self-Rewarding Language Models

[Vincent @vansinhu]

Hugging Face Weekly Paper Trends @_akhaliq (Gen by nana-banana-pro)

[alphaXiv @askalphaxiv]

We just raised a $7M Seed round co-led by @MenloVentures and @haystackvc with participation from @Shakti_VC, @conviction and @upfrontvc 🚀

We're honored to have the support of incredible angels including @ericschmidt, @SebastianThrun, @sarahookr

Join us: https://t.co/IKwK8KsG96

[AI-Insight @AI_Insight_Talk]

NewtonBench: BENCHMARKING GENERALIZABLE SCIENTIFIC LAW DISCOVERY IN LLM AGENTS

https://t.co/loNLizypPj

[AI-Insight @AI_Insight_Talk]

Found an interesting next model architecture exploration work from Shanghai AI Lab: SDAR, a new paradigm that converts trained AR models into blockwise diffusion models for FAST parallel decoding!

✅ AR's training efficiency
✅ Diffusion's inference speed

The 30B MoE model even beats pure AR baselines on GPQA and ChemBench.

HF Papers: https://t.co/YwfrWqsaSb
Model（1.7B/4B/8B/30B-A3B）：https://t.co/ptU3ttWXlL

[AI-Insight @AI_Insight_Talk]

@Alibaba_Qwen @OpenAI When will OpenAI release an open-source large language model (LLM)?

[Vincent @vansinhu]

Amazing !!!!

I try the anycoder to generate tech-style poster

@_akhaliq

https://t.co/TshVOxmRoU

[AI-Insight @AI_Insight_Talk]

HF Papers: Code Bench Live
https://t.co/SsjkaAq2d0

[Vincent @vansinhu]

🔥 VLMEvalKit Support Gemma 3 🚀

https://t.co/oqDHWUoB6y

https://t.co/tqvMIeeASM

@OpenCompassX @GoogleAI

[Vincent @vansinhu]

🔥 BREAKTHROUGH ALERT! OpenCompass @OpenCompassX v0.4.1 is now LIVE 🚀
Our latest release brings new Omni-Math support, OlympiadBench evaluation framework, and the challenging HLE dataset! Enhanced math verification, dataset repetition, and G-Pass computation. See how we're pushing the boundaries of AI evaluation! #AIEvaluation #OpenCompass #TechInnovation

https://t.co/muuN0ChMU1

[Vincent @vansinhu]

🚀 Just discovered #WritingBench - a game-changer for evaluating LLMs' writing capabilities!

🔥 Key highlights:
• 1,239 queries across 6 domains & 100 subdomains
• Dynamic criteria generation with 83% human alignment
• Enables 7B models to reach SOTA performance

The paper identifies that CoT prompting significantly improves creative writing tasks - something we should all implement! Their domain categorization is incredibly thorough.

Check out the repo: https://t.co/gWIbHwHGSB

#AI #NLP #LLM #Research

[Vincent @vansinhu]

🔥MedAgentsBench： Amazing Work🚀

Just explored #MedAgentBench from @Yale researchers and it's mind-blowing! They've created a cutting-edge benchmark that finally exposes the true capabilities of LLMs in complex medical reasoning.

⚡ Key discoveries:

DeepSeek R1 & OpenAI O3 dominate clinical reasoning tasks
Agent-based frameworks deliver exceptional performance-cost balance
Open-source alternatives are closing the gap at fraction of the cost

This work shatters previous benchmarks that failed to challenge today's advanced models.
The future of medical AI is here: https://t.co/GR0zTsBu8V
#MedicalAI #MachineLearning #AIinHealthcare 🔥

[GitHubDaily @GitHub_Daily]

一个可视化正则表达式的开源工具：regex-vis。

该工具能够辅助我们学习、编写和验证正则，只需输入一条正则表达式，即可生成可视化图形。

GitHub：https://t.co/RuazYm2fg8

不仅如此，还可以点选或框选图形进行编辑，比如插入节点、进行分组、增加量词等等。

[AI Will @FinanceYF5]

微软刚刚发布了OmniParser V2，这改变了一切。

这个AI可以看到你的屏幕，理解它，并采取行动，就像一个人一样。

100%免费且开源！

[Wenwei Zhang @wenweiz97]

What's the limit of reinforcement learning and 7B LLM on MATH-500? The answer is 94.0 pass@1 accuracy!
The method is OREAL, a new #RL method.

Check it at
https://t.co/vDMU10X28y
https://t.co/rB9Ph6YEgL

[AK @_akhaliq]

o3-mini made a working video version

prompt: make a app called chatgpt ad maker that takes in a video and does a black and white dotted image effect with sliders to adjust dot size, add a video replay button as well

[Poonam Soni @CodeByPoonam]

RIP Sora

China just dropped another open-source model: Goku, their Video Generator

13 wild examples so far (Don't miss the 5th one)