Behind Maya: Building a Multilingual Vision Language Model
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2505.08910
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1
SomosNLP
non-profit
AI & ML interests
Democratizar el PLN en español e incentivar su aplicación para generar impacto social 💛
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DrishtiSharma
authored
a
paper
3 days ago
How use the dataset to train my model GPT
2
#1 opened 12 days ago
by
luisaarias
Post
4107
Today we launch Dione.
A few months ago it was just a wild idea I shared with @bygimenez , now it's real.
Dione (Beta) is here, the easiest way to discover and install open-source apps, especially AI ones.
Think of it as the Steam of open source. Installing open-source tools is often a mess. Dione fixes that.
Beautiful UI and workflow. Soon multi-platform, multilingual & fully open-source.
Users can even write and share their own installation scripts. This is just the beginning.
🚀 Join our exclusive Beta
→ https://getdione.app/beta/join
A few months ago it was just a wild idea I shared with @bygimenez , now it's real.
Dione (Beta) is here, the easiest way to discover and install open-source apps, especially AI ones.
Think of it as the Steam of open source. Installing open-source tools is often a mess. Dione fixes that.
Beautiful UI and workflow. Soon multi-platform, multilingual & fully open-source.
Users can even write and share their own installation scripts. This is just the beginning.
🚀 Join our exclusive Beta
→ https://getdione.app/beta/join
- 2 replies
davidberenstein1957
posted
an
update
18 days ago
Post
975
Good answers are not necessarily factual answers: an analysis of hallucination in leading LLMs
https://huggingface.co/blog/davidberenstein1957/phare-analysis-of-hallucination-in-leading-llms
https://huggingface.co/blog/davidberenstein1957/phare-analysis-of-hallucination-in-leading-llms
davidberenstein1957
posted
an
update
about 1 month ago
Post
2187
🔥 Announcing FLUX-Juiced: The Fastest Image Generation Endpoint (2.6x faster)!
Optimisations are widely applied and can reduce inference time, but their impact on quality often remains unclear, so we decided to challenge the status quo and create our own optimised version of FLUX.1[dev] called FLUX-juiced.
Blog: https://huggingface.co/blog/PrunaAI/flux-fastest-image-generation-endpoint
Optimisations are widely applied and can reduce inference time, but their impact on quality often remains unclear, so we decided to challenge the status quo and create our own optimised version of FLUX.1[dev] called FLUX-juiced.
Blog: https://huggingface.co/blog/PrunaAI/flux-fastest-image-generation-endpoint
ouhenio
updated
a
Space
about 1 month ago
davidberenstein1957
posted
an
update
about 1 month ago
Post
1714
🧑🏫 I wrote a brief blogpost to give An Introduction to AI Model Optimization Techniques!
URL: https://huggingface.co/blog/PrunaAI/introduction-to-ai-model-optimization-techniques
URL: https://huggingface.co/blog/PrunaAI/introduction-to-ai-model-optimization-techniques
DrishtiSharma
authored
a
paper
about 1 month ago
davidberenstein1957
posted
an
update
about 1 month ago
Post
1388
RealHarm: A Collection of Real-World Language Model Application Failure
I'm David from Giskard, and we work on securing your Agents.
Today, we are launching RealHarm: a dataset of real-world problematic interactions with AI agents, drawn from publicly reported incidents.
Check out the dataset and paper: https://realharm.giskard.ai/
I'm David from Giskard, and we work on securing your Agents.
Today, we are launching RealHarm: a dataset of real-world problematic interactions with AI agents, drawn from publicly reported incidents.
Check out the dataset and paper: https://realharm.giskard.ai/
osanseviero
authored
a
paper
about 2 months ago
davidberenstein1957
posted
an
update
2 months ago
Post
2094
🚨 New Bonus Unit: Tracing & Evaluating Your Agent! 🚨
Learn how to transform your agent from a simple demo into a robust, reliable product ready for real users.
UNIT: https://huggingface.co/learn/agents-course/bonus-unit2/introduction
In this unit, you'll learn:
- Offline Evaluation – Benchmark and iterate your agent using datasets.
- Online Evaluation – Continuously track key metrics such as latency, costs, and user feedback.
Happy testing and improving!
Thanks Langfuse team!
Learn how to transform your agent from a simple demo into a robust, reliable product ready for real users.
UNIT: https://huggingface.co/learn/agents-course/bonus-unit2/introduction
In this unit, you'll learn:
- Offline Evaluation – Benchmark and iterate your agent using datasets.
- Online Evaluation – Continuously track key metrics such as latency, costs, and user feedback.
Happy testing and improving!
Thanks Langfuse team!
davidberenstein1957
posted
an
update
3 months ago
Post
2420
🔥 Text2SQL, explore and share any data analysis!
🤗 Hugging Face - Dataset Studio is an amazing new feature.
🚀 Start yourself: fka/awesome-chatgpt-prompts
📺 YouTube: https://youtu.be/5LUZq7MHolA?feature=shared
🤗 Hugging Face - Dataset Studio is an amazing new feature.
🚀 Start yourself: fka/awesome-chatgpt-prompts
📺 YouTube: https://youtu.be/5LUZq7MHolA?feature=shared
davidberenstein1957
posted
an
update
3 months ago
Post
4251
🥊 Epic Agent Framework Showdown! Available today!
🔵 In the blue corner, the versatile challenger with a proven track record of knowledge retrieval: LlamaIndex!
🛑 In the red corner, the defender, weighing in with lightweight efficiency: Hugging Face smolagents!
🔗 URL:
agents-course
We just published the LlamaIndex unit for the agents course, and it is set to offer a great contrast between the smolagents unit by looking at
- What makes llama-index stand-out
- How the LlamaHub is used for integrations
- Creating QueryEngine components
- Using agents and tools
- Agentic and multi-agent workflows
The team has been working flat-out on this for a few weeks. Supported by Logan Markewich and Laurie Voss over at LlamaIndex.
Who won? You decide!
🔵 In the blue corner, the versatile challenger with a proven track record of knowledge retrieval: LlamaIndex!
🛑 In the red corner, the defender, weighing in with lightweight efficiency: Hugging Face smolagents!
🔗 URL:
agents-course
We just published the LlamaIndex unit for the agents course, and it is set to offer a great contrast between the smolagents unit by looking at
- What makes llama-index stand-out
- How the LlamaHub is used for integrations
- Creating QueryEngine components
- Using agents and tools
- Agentic and multi-agent workflows
The team has been working flat-out on this for a few weeks. Supported by Logan Markewich and Laurie Voss over at LlamaIndex.
Who won? You decide!
davidberenstein1957
posted
an
update
3 months ago
Post
3044
🫸 New release to push vector search to the Hub with vicinity and work with any serialisable objects.
🧑🏫 KNN, HNSW, USEARCH, ANNOY, PYNNDESCENT, FAISS, and VOYAGER.
🔗 Example Repo: minishlab/my-vicinity-repo
🧑🏫 KNN, HNSW, USEARCH, ANNOY, PYNNDESCENT, FAISS, and VOYAGER.
🔗 Example Repo: minishlab/my-vicinity-repo
davidberenstein1957
posted
an
update
3 months ago
Post
3313
🚀 Find banger tools for your smolagents!
I created the Tools gallery, which makes tools specifically developed by/for smolagents searchable and visible. This will help with:
- inspiration
- best practices
- finding cool tools
Space: davidberenstein1957/smolagents-and-tools
I created the Tools gallery, which makes tools specifically developed by/for smolagents searchable and visible. This will help with:
- inspiration
- best practices
- finding cool tools
Space: davidberenstein1957/smolagents-and-tools
- 1 reply
davidberenstein1957
posted
an
update
3 months ago
Post
2485
Fine-tune Deepseek-R1 with a Synthetic Reasoning Dataset
Blog: https://huggingface.co/blog/sdiazlor/fine-tune-deepseek-with-a-synthetic-reasoning-data
Blog: https://huggingface.co/blog/sdiazlor/fine-tune-deepseek-with-a-synthetic-reasoning-data
gabrielmbmb
authored
a
paper
4 months ago
davidberenstein1957
posted
an
update
4 months ago
Post
2084
Agentic RAG: Applied, visual, and step-by-step! 🐾
Get familiar with the Agents and tools, not the bells and whistles!
Retrieve - Augment and now GENERATE.
part 3: https://huggingface.co/blog/davidberenstein1957/ai-blueprint-agentic-rag-part-3-generate
Get familiar with the Agents and tools, not the bells and whistles!
Retrieve - Augment and now GENERATE.
part 3: https://huggingface.co/blog/davidberenstein1957/ai-blueprint-agentic-rag-part-3-generate
davidberenstein1957
posted
an
update
4 months ago
Post
2888
Anyone can create free hosted tools for their AI agents! 🔥
Agentic RAG stack part 2 - augment
Augment retrieval results by reranking optimises content without increasing time too much
part2: https://huggingface.co/blog/davidberenstein1957/ai-blueprint-agentic-rag-part-2-augment
code: https://github.com/huggingface/ai-blueprint
Agentic RAG stack part 2 - augment
Augment retrieval results by reranking optimises content without increasing time too much
part2: https://huggingface.co/blog/davidberenstein1957/ai-blueprint-agentic-rag-part-2-augment
code: https://github.com/huggingface/ai-blueprint
mariagrandury
updated
a
collection
4 months ago