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Democratizar el PLN en español e incentivar su aplicación para generar impacto social 💛

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reddrex new activity about 19 hours ago

somosnlp/LingComp_QA:How use the dataset to train my model GPT

lewtun authored a paper 1 day ago

Kimina-Prover Preview: Towards Large Formal Reasoning Models with Reinforcement Learning

ouhenio updated a Space 22 days ago

somosnlp/mapa-blend-es

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somosnlp's activity

reddrex

in somosnlp/LingComp_QA about 19 hours ago

How use the dataset to train my model GPT

#1 opened about 23 hours ago by

luisaarias

davidberenstein1957

posted an update 7 days ago

Post

911

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

davidberenstein1957

posted an update 21 days ago

Post

2182

🔥 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

ouhenio

updated a Space 22 days ago

Mapa Blend-es

🌍

Revisa el avance colectivo de blend-es 😊

davidberenstein1957

posted an update 26 days ago

Post

1710

🧑‍🏫 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

davidberenstein1957

posted an update 28 days ago

Post

1387

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/

davidberenstein1957

posted an update about 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!

davidberenstein1957

posted an update 2 months ago

Post

2419

🔥 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

davidberenstein1957

posted an update 2 months ago

Post

4250

🥊 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!

davidberenstein1957

posted an update 2 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

davidberenstein1957

posted an update 3 months ago

Post

3312

🚀 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

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

davidberenstein1957

posted an update 3 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

davidberenstein1957

posted an update 3 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

mariagrandury

updated a collection 3 months ago

Corpus: Evaluation datasets for ES & LATAM

Collection

Corpus of La Leaderboard, the open LLM leaderboard for ES & LATAM • 56 items • Updated Feb 5 • 4

davidberenstein1957

posted an update 3 months ago

Post

2018

Creating an agentic RAG stack on the Hugging Face Hub - part 1 - retrieval (1/5).

🚀 Web apps and microservices included!

Chunk, embed and index documents at a huge scale without overhead.

Blog: https://huggingface.co/blog/davidberenstein1957/ai-blueprint-agentic-rag-part-1-retrieve

davidberenstein1957

posted an update 3 months ago

Post

1640

tldr; Parquet is awesome, DuckDB too!

Datasets on the Hugging Face Hub rely on parquet files. We can interact with these files using DuckDB as a fast in-memory database system. One of DuckDB’s features is vector similarity search which can be used with or without an index.

blog:
https://huggingface.co/learn/cookbook/vector_search_with_hub_as_backend

mariagrandury

updated 2 collections 3 months ago

Pre-trained LMs ES

Collection

Monolingual language models pre-trained on Spanish and related languages. • 21 items • Updated Feb 4 • 6

Instruction-Tuned Models ES

Collection

Instruction-tuned models in Spanish and other related languages • 8 items • Updated Feb 4 • 4

davidberenstein1957

posted an update 4 months ago

Post

1815

Let's uncover the post-training dataset from DeepSeek-R1 with Magpie!

Pass pre-query tokens <｜begin▁of▁sentence｜>User: , let the model generate the rest.

We can get realistic examples!

Gist: https://gist.github.com/davidberenstein1957/3f20046ce57395a6aba13f8b4e956b59

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How use the dataset to train my model GPT

Mapa Blend-es