Introducing the Open Arabic LLM Leaderboard
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73
Ali El Filali
alielfilali01
AI & ML interests
"AI Psychometrician" | NLP (mainly for Arabic) | Other interests include Reinforcement Learning and Cognitive sciences among others
Recent Activity
upvoted
an
article
about 19 hours ago
Articles
Organizations
alielfilali01's activity
reacted to
LukeNeumann's
post with ๐คฏ
2 days ago
Post
1136
Nine years ago, I uploaded the first 8K resolution video to YouTube and I've been stockpiling 8K footage ever since: https://www.youtube.com/watch?v=sLprVF6d7Ug&t
Should @Overlaiapp release the first open-source 8K video dataset?
Could anyone even fine tune a model with this?๐
Should @Overlaiapp release the first open-source 8K video dataset?
Could anyone even fine tune a model with this?๐
- 6 replies
reacted to
monsoon-nlp's
post with โค๏ธ
2 days ago
Post
1303
Great to see Tatta Bio release an embeddings version of their DNA/protein language model ๐งฌ:
tattabio/gLM2_650M_embed
reacted to
m-ric's
post with ๐ฅ
2 days ago
Post
1306
Great feature alert: ๐ฌ๐ผ๐ ๐ฐ๐ฎ๐ป ๐ป๐ผ๐ ๐๐๐ฒ ๐ฎ๐ป๐ ๐ฆ๐ฝ๐ฎ๐ฐ๐ฒ ๐ฎ๐ ๐ฎ ๐๐ผ๐ผ๐น ๐ณ๐ผ๐ฟ ๐๐ผ๐๐ฟ ๐๐ฟ๐ฎ๐ป๐๐ณ๐ผ๐ฟ๐บ๐ฒ๐ฟ๐.๐ฎ๐ด๐ฒ๐ป๐! ๐ ๏ธ๐ฅ๐ฅ
This lets you take the coolest spaces, like FLUX.1-dev, and use them in agentic workflows with a few lines of code! ๐งโ๐ป
On the video below, I set up my fake vacation pictures where I'm awesome at surfing (I'm really not) ๐
Head to the doc to learn this magic ๐ https://huggingface.co/docs/transformers/main/en/agents_advanced#import-a-space-as-a-tool-
This lets you take the coolest spaces, like FLUX.1-dev, and use them in agentic workflows with a few lines of code! ๐งโ๐ป
On the video below, I set up my fake vacation pictures where I'm awesome at surfing (I'm really not) ๐
Head to the doc to learn this magic ๐ https://huggingface.co/docs/transformers/main/en/agents_advanced#import-a-space-as-a-tool-
reacted to
maxiw's
post with โค๏ธ
7 days ago
Post
4500
I was curious to see what people post here on HF so I created a dataset with all HF Posts:
maxiw/hf-posts
Some interesting stats:
Top 5 Authors by Total Impressions:
-----------------------------------
@merve : 171,783 impressions (68 posts)
@fdaudens : 135,253 impressions (81 posts)
@singhsidhukuldeep : 122,591 impressions (81 posts)
@akhaliq : 119,526 impressions (78 posts)
@MonsterMMORPG : 112,500 impressions (45 posts)
Top 5 Users by Number of Reactions Given:
----------------------------------------
@osanseviero : 1278 reactions
@clem : 910 reactions
@John6666 : 899 reactions
@victor : 674 reactions
@samusenps : 655 reactions
Top 5 Most Used Reactions:
-------------------------
โค๏ธ: 7048 times
๐ฅ: 5921 times
๐: 4856 times
๐: 2549 times
๐ค: 2065 times
Some interesting stats:
Top 5 Authors by Total Impressions:
-----------------------------------
@merve : 171,783 impressions (68 posts)
@fdaudens : 135,253 impressions (81 posts)
@singhsidhukuldeep : 122,591 impressions (81 posts)
@akhaliq : 119,526 impressions (78 posts)
@MonsterMMORPG : 112,500 impressions (45 posts)
Top 5 Users by Number of Reactions Given:
----------------------------------------
@osanseviero : 1278 reactions
@clem : 910 reactions
@John6666 : 899 reactions
@victor : 674 reactions
@samusenps : 655 reactions
Top 5 Most Used Reactions:
-------------------------
โค๏ธ: 7048 times
๐ฅ: 5921 times
๐: 4856 times
๐: 2549 times
๐ค: 2065 times
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- 9 replies
reacted to
fffiloni's
post with ๐ฅ
7 days ago
Post
3364
DimensionX is out for you to try and duplicate ๐ค
โ> fffiloni/DimensionX
Discuss Paper: DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion (2411.04928)
Examples by the amazing William Lamkin @phanes
โ> fffiloni/DimensionX
Discuss Paper: DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion (2411.04928)
Examples by the amazing William Lamkin @phanes
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- 4 replies
posted
an
update
10 days ago
Post
2042
Unpopular opinion : o1-preview is more stupid than 4o and Qwen2.5-72B-Instruct in extremely underrated !
- 2 replies
reacted to
nroggendorff's
post with ๐
15 days ago
Post
2203
I still think whitespace in tokenizers are so dumb.
Congrats, you just doubled your vocab size for no reason.
Congrats, you just doubled your vocab size for no reason.
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- 3 replies
reacted to
fdaudens's
post with โค๏ธโ
16 days ago
Post
2359
Just tested Argilla's new data annotation feature - it's a game changer for AI project quality.
Upload CSVs, work with published datasets, or improve existing ones directly on HuggingFace Hub. Setup took < 2 minutes, no code needed (see example below where I selected a dataset to classify tweets in categories).
Real world impact: Missing in Chicago won a Pulitzer using a similar approach - 200 volunteers labeled police misconduct files to train their model. That's the power of good data annotation.
Three immediate use cases I see:
- Build collaborative training sets with your community (surprisingly underused in AI journalism)
- Turn your website chatbot logs into high-quality fine-tuning data
- Compare generated vs published content (great for SEO headlines)
Works for solo projects or teams up to 100 people. All integrated with HuggingFace Hub for immediate model training.
Interesting to see tools like this making data quality more accessible. Data quality is the hidden driver of AI success that we don't talk about enough.
- Check out the blogpost: https://huggingface.co/blog/argilla-ui-hub
- And the quickstart guide: https://docs.argilla.io/latest/getting_started/quickstart/
Upload CSVs, work with published datasets, or improve existing ones directly on HuggingFace Hub. Setup took < 2 minutes, no code needed (see example below where I selected a dataset to classify tweets in categories).
Real world impact: Missing in Chicago won a Pulitzer using a similar approach - 200 volunteers labeled police misconduct files to train their model. That's the power of good data annotation.
Three immediate use cases I see:
- Build collaborative training sets with your community (surprisingly underused in AI journalism)
- Turn your website chatbot logs into high-quality fine-tuning data
- Compare generated vs published content (great for SEO headlines)
Works for solo projects or teams up to 100 people. All integrated with HuggingFace Hub for immediate model training.
Interesting to see tools like this making data quality more accessible. Data quality is the hidden driver of AI success that we don't talk about enough.
- Check out the blogpost: https://huggingface.co/blog/argilla-ui-hub
- And the quickstart guide: https://docs.argilla.io/latest/getting_started/quickstart/
reacted to
albertvillanova's
post with โค๏ธ๐
23 days ago
Post
3089
๐ Exciting update! You can now compare multiple models side-by-side with the Hugging Face Open LLM Comparator! ๐
open-llm-leaderboard/comparator
Dive into multi-model evaluations, pinpoint the best model for your needs, and explore insights across top open LLMs all in one place. Ready to level up your model comparison game?
open-llm-leaderboard/comparator
Dive into multi-model evaluations, pinpoint the best model for your needs, and explore insights across top open LLMs all in one place. Ready to level up your model comparison game?
reacted to
yjernite's
post with โค๏ธ
25 days ago
Post
๐ท๐ฝโโ๏ธ๐๐จ Announcing the Foundation Model Development Cheatsheet!
My first ๐คPost๐ค ever to announce the release of a fantastic collaborative resource to support model developers across the full development stack: The FM Development Cheatsheet available here: https://fmcheatsheet.org/
The cheatsheet is a growing database of the many crucial resources coming from open research and development efforts to support the responsible development of models. This new resource highlights essential yet often underutilized tools in order to make it as easy as possible for developers to adopt best practices, covering among other aspects:
๐ง๐ผโ๐คโ๐ง๐ผ data selection, curation, and governance;
๐ accurate and limitations-aware documentation;
โก energy efficiency throughout the training phase;
๐ thorough capability assessments and risk evaluations;
๐ environmentally and socially conscious deployment strategies.
We strongly encourage developers working on creating and improving models to make full use of the tools listed here, and to help keep the resource up to date by adding the resources that you yourself have developed or found useful in your own practice ๐ค
Congrats to all the participants in this effort for the release! Read more about it from:
@Shayne - https://twitter.com/ShayneRedford/status/1763215814860186005
@hails and @stellaathena - https://blog.eleuther.ai/fm-dev-cheatsheet/
@alon-albalak - http://nlp.cs.ucsb.edu/blog/a-new-guide-for-the-responsible-development-of-foundation-models.html
And also to @gabrielilharco @sayashk @kklyman @kylel @mbrauh @fauxneticien @avi-skowron @Bertievidgen Laura Weidinger, Arvind Narayanan, @VictorSanh @Davlan @percyliang Rishi Bommasani, @breakend @sasha ๐ฅ
My first ๐คPost๐ค ever to announce the release of a fantastic collaborative resource to support model developers across the full development stack: The FM Development Cheatsheet available here: https://fmcheatsheet.org/
The cheatsheet is a growing database of the many crucial resources coming from open research and development efforts to support the responsible development of models. This new resource highlights essential yet often underutilized tools in order to make it as easy as possible for developers to adopt best practices, covering among other aspects:
๐ง๐ผโ๐คโ๐ง๐ผ data selection, curation, and governance;
๐ accurate and limitations-aware documentation;
โก energy efficiency throughout the training phase;
๐ thorough capability assessments and risk evaluations;
๐ environmentally and socially conscious deployment strategies.
We strongly encourage developers working on creating and improving models to make full use of the tools listed here, and to help keep the resource up to date by adding the resources that you yourself have developed or found useful in your own practice ๐ค
Congrats to all the participants in this effort for the release! Read more about it from:
@Shayne - https://twitter.com/ShayneRedford/status/1763215814860186005
@hails and @stellaathena - https://blog.eleuther.ai/fm-dev-cheatsheet/
@alon-albalak - http://nlp.cs.ucsb.edu/blog/a-new-guide-for-the-responsible-development-of-foundation-models.html
And also to @gabrielilharco @sayashk @kklyman @kylel @mbrauh @fauxneticien @avi-skowron @Bertievidgen Laura Weidinger, Arvind Narayanan, @VictorSanh @Davlan @percyliang Rishi Bommasani, @breakend @sasha ๐ฅ
- 1 reply
reacted to
fdaudens's
post with โค๏ธ
28 days ago
Post
2782
๐คฏ Plot twist: Size isn't everything in AI! A lean 32B parameter model just showed up to the party and outperformed a 70B one. Efficiency > Scale? The AI world just got more interesting...
Cohere For AI released Aya Expanse, a new family of multilingual models (8B and 32B) spanning 23 popular languages.
Models: CohereForAI/c4ai-aya-expanse-671a83d6b2c07c692beab3c3
Blog post: https://huggingface.co/blog/aya-expanse
Demo: CohereForAI/aya_expanse
Cohere For AI released Aya Expanse, a new family of multilingual models (8B and 32B) spanning 23 popular languages.
Models: CohereForAI/c4ai-aya-expanse-671a83d6b2c07c692beab3c3
Blog post: https://huggingface.co/blog/aya-expanse
Demo: CohereForAI/aya_expanse
reacted to
clem's
post with ๐ฅ
28 days ago
Post
4309
This is no Woodstock AI but will be fun nonetheless haha. Iโll be hosting a live workshop with team members next week about the Enterprise Hugging Face hub.
1,000 spots available first-come first serve with some surprises during the stream!
You can register and add to your calendar here: https://streamyard.com/watch/JS2jHsUP3NDM
1,000 spots available first-come first serve with some surprises during the stream!
You can register and add to your calendar here: https://streamyard.com/watch/JS2jHsUP3NDM
- 4 replies
reacted to
abhishek's
post with ๐ค
about 1 month ago
replied to
their
post
about 1 month ago
I don't think i totally follow up what you are saying !?
posted
an
update
about 1 month ago
Post
1620
I feel like this incredible resource hasn't gotten the attention it deserves in the community!
@clefourrier and generally the HuggingFace evaluation team put together a fantastic guidebook covering a lot about ๐๐ฉ๐๐๐จ๐๐ง๐๐ข๐ก from basics to advanced tips.
link : https://github.com/huggingface/evaluation-guidebook
I havenโt finished it yet, but i'am enjoying every piece of it so far. Huge thanks @clefourrier and the team for this invaluable resource !
@clefourrier and generally the HuggingFace evaluation team put together a fantastic guidebook covering a lot about ๐๐ฉ๐๐๐จ๐๐ง๐๐ข๐ก from basics to advanced tips.
link : https://github.com/huggingface/evaluation-guidebook
I havenโt finished it yet, but i'am enjoying every piece of it so far. Huge thanks @clefourrier and the team for this invaluable resource !
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- 3 replies
reacted to
mattmdjaga's
post with ๐ฅ
about 1 month ago
Post
1414
๐จ New Agent Benchmark ๐จ
AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents
ai-safety-institute/AgentHarm
Collaboration between UK AI Safety Institute and Gray Swan AI to create a dataset for measuring harmfulness of LLM agents.
The benchmark contains both harmful and benign sets of 11 categories with varied difficulty levels and detailed evaluation, not only testing success rate but also tool level accuracy.
We provide refusal and accuracy metrics across a wide range of models in both no attack and prompt attack scenarios.
AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents (2410.09024)
AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents
ai-safety-institute/AgentHarm
Collaboration between UK AI Safety Institute and Gray Swan AI to create a dataset for measuring harmfulness of LLM agents.
The benchmark contains both harmful and benign sets of 11 categories with varied difficulty levels and detailed evaluation, not only testing success rate but also tool level accuracy.
We provide refusal and accuracy metrics across a wide range of models in both no attack and prompt attack scenarios.
AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents (2410.09024)
reacted to
singhsidhukuldeep's
post with ๐
about 1 month ago
Post
2008
Just started going through the latest "State of AI Report 2024", and I cannot get over the predictions!
The report predicts major developments in AI over the next 12 months, including a $10B+ investment from a sovereign state into a large US AI lab, triggering national security scrutiny, and a viral app created by someone without coding skills.
It forecasts changes in data collection practices due to frontier labs facing trials, softer-than-expected EU AI Act implementations, and the rise of an open-source alternative to OpenAI GPT-4 outperforming in benchmarks.
NVIDIAโs dominance will remain largely unchallenged, investment in humanoid robots will decline, Appleโs on-device AI research will gain momentum, and a research paper by an AI scientist will be accepted at a major conference.
Lastly, a GenAI-based video game is expected to achieve breakout success.
Yet to go through all 200+ pages... will post summarized thoughts later.
The report predicts major developments in AI over the next 12 months, including a $10B+ investment from a sovereign state into a large US AI lab, triggering national security scrutiny, and a viral app created by someone without coding skills.
It forecasts changes in data collection practices due to frontier labs facing trials, softer-than-expected EU AI Act implementations, and the rise of an open-source alternative to OpenAI GPT-4 outperforming in benchmarks.
NVIDIAโs dominance will remain largely unchallenged, investment in humanoid robots will decline, Appleโs on-device AI research will gain momentum, and a research paper by an AI scientist will be accepted at a major conference.
Lastly, a GenAI-based video game is expected to achieve breakout success.
Yet to go through all 200+ pages... will post summarized thoughts later.
- 2 replies
reacted to
mervenoyan's
post with ๐ฅ
about 1 month ago
Post
2229
we have a leaderboard for video LLMs, and most of the top models are open ones!
opencompass/openvlm_video_leaderboard ๐๐
we are so back ๐ฅ
we are so back ๐ฅ