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Democratizing access to useful AI tools and resources for journalists

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fdaudens  new activity 19 days ago
JournalistsonHF/README:Best NLP tutorials?
ajwl  new activity 20 days ago
JournalistsonHF/README:Best NLP tutorials?
fdaudens  updated a Space 21 days ago
JournalistsonHF/README
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AdinaY 
posted an update about 13 hours ago
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QvQ-72B-Preview🎄 an open weight model for visual reasoning just released by Alibaba_Qwen team
Qwen/qvq-676448c820912236342b9888
✨ Combines visual understanding & language reasoning.
✨ Scores 70.3 on MMMU
✨ Outperforms Qwen2-VL-72B-Instruct in complex problem-solving
Kseniase 
posted an update 1 day ago
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1819
**15 Agentic Systems and Frameworks of 2024**

This year, we started our “AI Agents and Agentic Workflows” series (https://www.turingpost.com/t/AI-Agents) to explore everything about AI agents step by step: all the vocabulary, how they work, and how to build them.
The huge interest in this series and the large number of studies conducted on agents showed that it was one of the most popular and important themes of the year. In 2025, most likely, agents will reach new highs – we will be covering that for you. Now, let’s review the agentic systems that have emerged this year.

Here is a list of 15 agentic systems and frameworks of 2024:

1. GUI Agents: A Survey (2412.13501)

2. Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level (2411.03562)

3. The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery (2408.06292)

4. MALT: Improving Reasoning with Multi-Agent LLM Training (2412.01928)

5. Agent S: An Open Agentic Framework that Uses Computers Like a Human (2410.08164)

6. Automated Design of Agentic Systems (2408.08435)

7. AgentInstruct: Toward Generative Teaching with Agentic Flows (2407.03502)

8. AgentStore: Scalable Integration of Heterogeneous Agents As Specialized Generalist Computer Assistant (2410.18603)

9. WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents (2410.07484)

10. Generative Agent Simulations of 1,000 People (2411.10109)

11. DynaSaur: Large Language Agents Beyond Predefined Actions (2411.01747)

12. PRefLexOR: Preference-based Recursive Language Modeling for Exploratory Optimization of Reasoning and Agentic Thinking (2410.12375)

13. Generative World Explorer (2411.11844)

14. Bel Esprit: Multi-Agent Framework for Building AI Model Pipelines (2412.14684)

15. AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions (2410.20424)

Thanks for reading Turing Post!
Subscribe to receive new posts straight into your inbox -> https://www.turingpost.com/subscribe
AdinaY 
posted an update 9 days ago
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Megrez-3B-Omni 🔥 an on-device multimodal LLM by Infinigence AI, another startup emerging from the Tsinghua University ecosystem.
Model: Infinigence/Megrez-3B-Omni
Demo: Infinigence/Megrez-3B-Omni
✨Supports analysis of image, text, and audio modalities
✨Leads in bilingual speech ( English & Chinese ) input, multi-turn conversations, and voice-based queries
✨Outperforms in scene understanding and OCR across major benchmarks
Kseniase 
posted an update 13 days ago
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TL;DR: The Story of Attention's Development by @karpathy

Origin: First proposed in 2014 by @Dzmitry Bahdanau, @KyunghyunCho , and Yoshua Bengio in Neural Machine Translation by Jointly Learning to Align and Translate (1409.0473) . Inspired by cognitive processes and later renamed from "RNNSearch."

Key Idea: A data-dependent weighted average for pooling and communication, enabling flexible and powerful neural network connections.

Breakthrough: Bahdanau's "soft search" mechanism (softmax + weighted averaging) solved encoder-decoder bottlenecks in machine translation.
Transformer Revolution: Attention Is All You Need (1706.03762) (2017) by @ashishvaswanigoogle et al. simplified architectures by stacking attention layers, introducing multi-headed attention and positional encodings.
Legacy: Attention replaced RNNs, driving modern AI systems like ChatGPT. It emerged independently but was influenced by contemporaneous work like Alex Graves’s Neural Turing Machines (1410.5401) and Jason Weston’s Memory Networks (1410.3916) .

Attention to history: Jürgen Schmidhuber claims his 1992 Fast Weight Programmers anticipated modern attention mechanisms. While conceptually similar, the term “attention” was absent, and there’s no evidence it influenced Bahdanau, Cho, and Bengio’s 2014 work. Paying attention (!) to history might have brought us to genAI earlier – but credit for the breakthrough still goes to Montreal.

Referenced Papers:
Attention Origin: Neural Machine Translation by Jointly Learning to Align and Translate (1409.0473)
Transformers: Attention Is All You Need (1706.03762)
Alex Graves' Work: Neural Turing Machines (1410.5401), Generating Sequences With Recurrent Neural Networks (1308.0850)
Jason Weston @spermwhale 's Memory Networks (1410.3916)
Sequence to Sequence Learning with Neural Networks (1409.3215) by Ilya Sutskever ( @ilyasut ), Oriol Vinyals, Quoc V. Le

Who else deserves recognition in this groundbreaking narrative of innovation? Let’s ensure every contributor gets the credit they deserve. Leave a comment below 👇🏻🤗
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AdinaY 
posted an update 16 days ago
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Updates from the Chinese community last week 🔥

LLM:
✨ Sailor 2 , multilingual model supporting 10+ South Asian languages by Sea AI Lab. https://huggingface.co./sailor2

MLLM:
✨InternVL 2.5 , new open multimodal LLM by OpenGVLab
https://huggingface.co./collections/OpenGVLab/internvl-25-673e1019b66e2218f68d7c1c
✨Qwen2-VL 2B/7B/72B base model, the latest iteration of our Qwen-VL model by Alibaba Qwen
Qwen/qwen2-vl-66cee7455501d7126940800d

Video model:
✨HunyuanVideo , 13B open video model by Tencent
tencent/HunyuanVideo

Reasoning model:
✨ LLaMA-O1 🦙 base & supervised model; pretrain & finetune datasets and demo all released
zh-ai-community/reasoning-models-67409fb3aa1ed78f10087cd7

Audio model:
✨Fish Speech 1.5, Text-to-speech in 13 languages, trained on 1M+ hours of audio by FishAudio
fishaudio/fish-speech-1.5
✨ClearVoice, An advanced voice processing framework by Alibaba Tongyi SpeechAI https://huggingface.co./alibabasglab

More details 👉 https://huggingface.co./zh-ai-community
thomwolf 
posted an update 16 days ago
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We are proud to announce HuggingFaceFW/fineweb-2: A sparkling update to HuggingFaceFW/fineweb with 1000s of 🗣️languages.

We applied the same data-driven approach that led to SOTA English performance in🍷 FineWeb to thousands of languages.

🥂 FineWeb2 has 8TB of compressed text data and outperforms other multilingual datasets in our experiments.

The dataset is released under the permissive 📜 ODC-By 1.0 license, and the 💻 code to reproduce it and our evaluations is public.

We will very soon announce a big community project, and are working on a 📝 blogpost walking you through the entire dataset creation process. Stay tuned!

In the mean time come ask us question on our chat place: HuggingFaceFW/discussion

H/t @guipenedo @hynky @lvwerra as well as @vsabolcec Bettina Messmer @negar-foroutan and @mjaggi
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thomwolf 
posted an update 19 days ago
jsulz 
posted an update 19 days ago
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Doing a lot of benchmarking and visualization work, which means I'm always searching for interesting repos in terms of file types, size, branches, and overall structure.

To help, I built a Space jsulz/repo-info that lets you search for any repo and get back:

- Treemap of the repository, color coded by file/directory size
- Repo branches and their size
- Cumulative size of different file types (e.g., the total size of all the safetensors in the repo)

And because I'm interested in how this will fit in our work to leverage content-defined chunking for versioning repos on the Hub
- https://huggingface.co./blog/from-files-to-chunks - everything has the number of chunks (1 chunk = 64KB) as well as the total size in bytes.

Some of the treemaps are pretty cool. Attached are black-forest-labs/FLUX.1-dev and for fun laion/laion-audio-preview (which has nearly 10k .tar files 🤯)

  • 2 replies
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fdaudens 
in JournalistsonHF/README 19 days ago

Best NLP tutorials?

1
#12 opened 20 days ago by
ajwl
ajwl 
in JournalistsonHF/README 20 days ago

Best NLP tutorials?

1
#12 opened 20 days ago by
ajwl
fdaudens 
updated a Space 21 days ago
AdinaY 
posted an update 21 days ago
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Sailor 2 🚢 open multilingual model for Southeast Asia by Sea AI Lab🔥
https://huggingface.co./sailor2
sail/Sailor2-20B-Chat

✨ Fully open code & ALL datasets 🙌
✨ 1B/ 8B/20B base & chat expanded on Qwen2.5
✨ Apache 2.0
✨ Supports 15 languages including English, Chinese, Burmese, Cebuano, Ilocano, Indonesian, Javanese, Khmer, Lao, Malay, Sundanese, Tagalog, Thai, Vietnamese, and Waray🇬🇧🇨🇳🇱🇦🇲🇾🇲🇲🇻🇳🇹🇭
thomwolf 
posted an update 21 days ago
AdinaY 
posted an update 22 days ago
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2023 & 2024 Top Downloaded (all time) Open Models on the hub are both from the Chinese community 👀

2023 👉 Bge base by BAAI
BAAI/bge-base-en-v1.5
2024 👉 Qwen 2.5 by Alibaba Qwen
Qwen/Qwen2.5-1.5B-Instruct

Can’t wait to see what incredible models the Chinese community will bring in 2025🚀

✨ Follow https://huggingface.co./zh-ai-community to get the latest updates from the Chinese community
✨ Explore the 2024 Year in Review huggingface/open-source-ai-year-in-review-2024
AdinaY 
posted an update 22 days ago
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HunyuanVideo 📹 The new open video generation model by Tencent!
👉 tencent/HunyuanVideo
zh-ai-community/video-models-666afd86cfa4e4dd1473b64c
✨ 13B parameters: Probably the largest open video model to date
✨ Unified architecture for image & video generation
✨ Powered by advanced features: MLLM Text Encoder, 3D VAE, and Prompt Rewrite
✨ Delivers stunning visuals, diverse motion, and unparalleled stability
🔓 Fully open with code & weights
AdinaY 
posted an update 26 days ago
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Zhipu AI, the Chinese generative AI startup behind CogVideo, just launched their first productized AI Agent - AutoGLM 🔥
👉 https://agent.aminer.cn

With simple text or voice commands, it:
✨ Simulates phone operations effortlessly
✨ Autonomously handles 50+ step tasks
✨ Seamlessly operates across apps

Powered by Zhipu's "Decoupled Interface" and "Self-Evolving Learning Framework" to achieve major performance gains in Phone Use and Web Browser Use!

Meanwhile, GLM4-Edge is now on Hugging Face hub🚀
👉 THUDM/glm-edge-6743283c5809de4a7b9e0b8b
Packed with advanced dialogue + multimodal models:
📱 1.5B / 2B models: Built for mobile & in-car systems
💻 4B / 5B models: Optimized for PCs
AdinaY 
posted an update 27 days ago
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🌊 The wave of reasoning models from the Chinese community has arrived!

🚀 Marco-o1 by AIDC, Alibaba
👉 AIDC-AI/Marco-o1

✨ QwQ by Qwen, Alibaba
👉 Qwen/qwq-674762b79b75eac01735070a

🌟 Skywork-o1 by Kunlun Tech
👉 Skywork/skywork-o1-open-67453df58e12f6c3934738d0

🔥 Xkev/Llama-3.2V-11B-cot by PKU Yuan group
👉 Xkev/Llama-3.2V-11B-cot

💡 DeepSeek-R1-Lite-Preview by DeepSeek AI
👉 https://chat.deepseek.com/

🔍 InternThinker Preview by Shanghai AI Lab
👉 https://sso.openxlab.org.cn/login?redirect=https://internlm-chat.intern-ai.org.cn/&clientId=ebmrvod6yo0nlzaek1yp

📘 k0-math by Moonshot AI
🚀 https://kimi.moonshot.cn/ ( coming soon! )

Who's next? 👀
zh-ai-community/reasoning-models-67409fb3aa1ed78f10087cd7
jsulz 
posted an update 29 days ago
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Something I love about working at Hugging Face is the opportunity to design and work in public. Right now, we’re redesigning the architecture that supports uploads and downloads on the Hub.

Datasets and models are growing fast, and so are the challenges of storing and transferring them efficiently. To keep up, we're introducing a new protocol for uploads and downloads, supported by a content-addressed store (CAS).

Here’s what’s coming:

📦 Smarter uploads: Chunk-level management enables advanced deduplication, compression, and reduces redundant transfers, speeding up uploads.
⚡ Efficient downloads: High throughput and low latency ensure fast access, even during high-demand model releases.
🔒 Enhanced security: Validate uploads before storage to block malicious or invalid data.

We analyzed 24 hours of global upload activity in October (88 countries, 130TB of data!) to design a system that scales with your needs.

The result? A proposed infrastructure with CAS nodes in us-east-1, eu-west-3, and ap-southeast-1.

🔗 Read the blog post for the full details: https://huggingface.co./blog/rearchitecting-uploads-and-downloads

🌟 Check out our interactive demo to explore the data yourself!
xet-team/cas-analysis

We’d love to hear your feedback - let us know if you have questions or want to see more.
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AdinaY 
posted an update 30 days ago
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China launched an algorithm governance campaign to ensure algorithms are more positive, transparent, controllable, fair, and accountable🇨🇳📑
zh-ai-community/china-ai-policy-research

Highlights:
✨ Combat "echo chambers" and addictive content: ban forced tags, data misuse, and excessive collection.
✨ Make rankings transparent: explain algorithms, keep logs, and detect fake accounts.
✨ Protect workers: disclose delivery algorithms and provide appeal channels.
✨ Ban unfair pricing: ensure promo transparency and honest explanations for failures.
✨ Support users: improve recommendations for minors and seniors, promote good content, and detect fakes.
✨ Ensure safety: audit algorithms, secure data, fix flaws, and regularly evaluate models.

⏰ Timeline:
Company Self-Checks: before Dec 31, 2024
Verification: before Jan 31, 2025
Effectiveness Review: before Feb 14, 2025

Open reporting channels for algorithm issues during the campaign, monitor complaints, enforce corrections, and provide feedback to users.
thomwolf 
posted an update about 1 month ago