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tianbaoxiexxx  authored a paper 6 days ago
AgentStore: Scalable Integration of Heterogeneous Agents As Specialized Generalist Computer Assistant
tianbaoxiexxx  authored a paper 6 days ago
ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows
tianbaoxiexxx  authored a paper 6 days ago
xbench: Tracking Agents Productivity Scaling with Profession-Aligned Real-World Evaluations
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jjokah 
posted an update 6 days ago
ImranzamanML 
posted an update 7 days ago
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# Runway Aleph: The Future of AI Video Editing

Runway’s new **Aleph** model lets you *transform*, *edit*, and *generate* video from existing footage using just text prompts.
You can remove objects, change environments, restyle shots, alter lighting, and even create entirely new camera angles, all in one tool.

## Key Links

- 🔬 [Introducing Aleph (Runway Research)](https://runwayml.com/research/introducing-runway-aleph)
- 📖 [Aleph Prompting Guide (Runway Help Center)](https://help.runwayml.com/hc/en-us/articles/43277392678803-Aleph-Prompting-Guide)
- 🎬 [How to Transform Videos (Runway Academy)](https://academy.runwayml.com/aleph/how-to-transform-videos)
- 📰 [Gadgets360 Coverage](https://www.gadgets360.com/ai/news/runway-aleph-ai-video-editing-generation-model-post-production-unveiled-8965180)
- 🎥 [YouTube Demo: ALEPH by Runway](https://www.youtube.com/watch?v=PPerCtyIKwA)
- 📰 [Runway Alpha dataset]( Rapidata/text-2-video-human-preferences-runway-alpha)

## Prompt Tips

1. Be clear and specific (e.g., _“Change to snowy night, keep people unchanged”_).
2. Use action verbs like _add, remove, restyle, relight_.
3. Add reference images for style or lighting.


Aleph shifts AI video from *text-to-video* to *video-to-video*, making post-production faster, more creative, and more accessible than ever.
werent4 
authored a paper 8 days ago
Ihor 
authored a paper 8 days ago
Tonic 
in blog-explorers/README 9 days ago

[Support] Community Articles

🚀 🤝 1
86
#5 opened over 1 year ago by
victor
yjernite 
authored 3 papers 12 days ago
ImranzamanML 
posted an update 13 days ago
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444
OpenAI has launched GPT-5, a significant leap forward in AI technology that is now available to all users. The new model unifies all of OpenAI's previous developments into a single, cohesive system that automatically adapts its approach based on the complexity of the user's request. This means it can prioritize speed for simple queries or engage a deeper reasoning model for more complex problems, all without the user having to manually switch settings.

Key Features and Improvements
Unified System: GPT-5 combines various models into one interface, intelligently selecting the best approach for each query.

Enhanced Coding: It's being hailed as the "strongest coding model to date," with the ability to create complex, responsive websites and applications from a single prompt.

PhD-level Reasoning: According to CEO Sam Altman, GPT-5 offers a significant jump in reasoning ability, with a much lower hallucination rate. It also performs better on academic and human-evaluated benchmarks.

New Personalities: Users can now select from four preset personalities—Cynic, Robot, Listener and Nerd to customize their chat experience.

Advanced Voice Mode: The voice mode has been improved to sound more natural and adapt its speech based on the context of the conversation.


https://openai.com/index/introducing-gpt-5/
https://openai.com/gpt-5/
ImranzamanML 
posted an update 14 days ago
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267
All key links to OpenAI open sourced GPT OSS models (117B and 21B) which are released under apache 2.0. Here is a quick guide to explore and build with them:

Intro & vision: https://openai.com/index/introducing-gpt-oss

Model specs & license: https://openai.com/index/gpt-oss-model-card/

Dev overview: https://cookbook.openai.com/topic/gpt-oss

How to run via vLLM: https://cookbook.openai.com/articles/gpt-oss/run-vllm

Harmony I/O format: https://github.com/openai/harmony

Reference PyTorch code: https://github.com/openai/gpt-oss?tab=readme-ov-file#reference-pytorch-implementation

Community site: https://gpt-oss.com/

Lets deep dive with OpenAI models now 😊

#OpenSource #AI #GPTOSS #OpenAI #LLM #Python #GenAI
ImranzamanML 
posted an update 15 days ago
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3501
Finaly OpenAI is open to share open-source models after GPT2-2019.
gpt-oss-120b
gpt-oss-20b

openai/gpt-oss-120b

#AI #GPT #LLM #Openai
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ImranzamanML 
posted an update 19 days ago
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301
Working of Transformer model layers!

I focused on showing the core steps side by side with tokenization, embedding and the transformer model layers, each highlighting the self attention and feedforward parts without getting lost in too much technical depth.

Its showing how these layers work together to understand context and generate meaningful output!

If you are curious about the architecture behind AI language models or want a clean way to explain it, hit me up, I’d love to share!



#AI #MachineLearning #NLP #Transformers #DeepLearning #DataScience #LLM #AIAgents
ImranzamanML 
posted an update 23 days ago
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1636
Hugging Face just made life easier with the new hf CLI!
huggingface-cli to hf

With renaming the CLI, there are new features added like hf jobs. We can now run any script or Docker image on dedicated Hugging Face infrastructure with a simple command. It's a good addition for running experiments and jobs on the fly.

To get started, just run:
pip install -U huggingface_hub

List of hf CLI Commands

Main Commands
hf auth: Manage authentication (login, logout, etc.).
hf cache: Manage the local cache directory.
hf download: Download files from the Hub.
hf jobs: Run and manage Jobs on the Hub.
hf repo: Manage repos on the Hub.
hf upload: Upload a file or a folder to the Hub.
hf version: Print information about the hf version.
hf env: Print information about the environment.

Authentication Subcommands (hf auth)
login: Log in using a Hugging Face token.
logout: Log out of your account.
whoami: See which account you are logged in as.
switch: Switch between different stored access tokens/profiles.
list: List all stored access tokens.

Jobs Subcommands (hf jobs)
run: Run a Job on Hugging Face infrastructure.
inspect: Display detailed information on one or more Jobs.
logs: Fetch the logs of a Job.
ps: List running Jobs.
cancel: Cancel a Job.

hashtag#HuggingFace hashtag#MachineLearning hashtag#AI hashtag#DeepLearning hashtag#MLTools hashtag#MLOps hashtag#OpenSource hashtag#Python hashtag#DataScience hashtag#DevTools hashtag#LLM hashtag#hfCLI hashtag#GenerativeAI
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yjernite 
posted an update 23 days ago
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4028
𝗙𝗶𝗿𝘀𝘁 𝗚𝗣𝗔𝗜 𝗠𝗼𝗱𝗲𝗹 𝘄𝗶𝘁𝗵 𝗘𝗨 𝗗𝗮𝘁𝗮 𝗧𝗿𝗮𝗻𝘀𝗽𝗮𝗿𝗲𝗻𝗰𝘆 𝗧𝗲𝗺𝗽𝗹𝗮𝘁𝗲? 🇪🇺

With the release of the EU data transparency template this week, we finally got to see one of the most meaningful artifacts to come out of the AI Act implementation so far (haven't you heard? AI's all about the data! 📊📚)

The impact of the template will depend on how effectively it establishes a minimum meaningful transparency standard for companies that don't otherwise offer any transparency into their handling of e.g. personal data or (anti?-)competitive practices in commercial licensing - we'll see how those play out as new models are released after August 2nd 👀


In the meantime, I wanted to see how the template works for a fully open-source + commercially viable model, so I filled it out for the SmolLM3 - which my colleagues at Hugging Face earlier this month 🤗 ICYMI, it's fully open-source with 3B parameters and performance matching the best similar-size models (I've switched all my local apps from Qwen3 to it, you should too 💡)

Verdict: congrats to the European Commission AI Office for making it so straightforward! Fully open and transparent models remain a cornerstone of informed regulation and governance, but the different organizational needs of their developers aren't always properly accounted for in new regulation. In this case, it took me all of two hours to fill out and publish the template (including reading the guidelines) - so kudos for making it feasible for smaller and distributed organizations 🙌 Definitely a step forward for transparency 🔍

To learn more have a look at:

- The SmolLM3 model: HuggingFaceTB/SmolLM3-3B
- Its filled out Public Summary of Training Content: hfmlsoc/smollm3-eu-data-transparency
- And if you're interested, some previous remarks on regulatory minimum meaningful standards for data disclosure: https://huggingface.co/blog/yjernite/naiac-data-transparency
ImranzamanML 
authored a paper 27 days ago
davidberenstein1957 
posted an update about 1 month ago
catherinearnett 
authored 2 papers about 1 month ago
davidberenstein1957 
posted an update about 2 months ago
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361
🚨 LLMs recognise bias but also reproduce harmful stereotypes: an analysis of bias in leading LLMs

I've written a new entry in our series on the Giskard, BPIFrance and Google Deepmind Phare benchmark(phare.giskard.ai).

This time it covers bias: https://huggingface.co/blog/davidberenstein1957/llms-recognise-bias-but-also-produce-stereotypes

Previous entry on hallucinations: https://huggingface.co/blog/davidberenstein1957/phare-analysis-of-hallucination-in-leading-llms
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Ameeeee 
posted an update about 2 months ago
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1652
🤗 Here’s a fun educational video I made to show how Sheets and AI can upgrade your structured content.

Better tables and clearer messages with just a little help from open-source AI!

aisheets/sheets