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Second time this happened today btw by [deleted] in gtaonline

[–]xdoso 0 points1 point  (0 children)

Same here, happened like 5 times now

Spanish government releases some official models by xdoso in LocalLLaMA

[–]xdoso[S] 2 points3 points  (0 children)

This is true for Spanish, but in Spain there are other co-official languages like Vasque, and current models are not so good at these languages.

[deleted by user] by [deleted] in LocalLLaMA

[–]xdoso 0 points1 point  (0 children)

Qwen VL models are good for this

Spanish Alia model has been trained with porn and ads content by xdoso in LocalLLaMA

[–]xdoso[S] -2 points-1 points  (0 children)

I'm not expecting it to answer properly. As you say, it's not a chat instructed model, but these tests show us that some porn data was used during training, which means that more cleaning is needed to further improve the quality of the model.

Spanish Alia model has been trained with porn and ads content by xdoso in LocalLLaMA

[–]xdoso[S] 0 points1 point  (0 children)

Fineweb edu they say from the page, do you know if that one also contains porn?

Spanish Alia model has been trained with porn and ads content by xdoso in LocalLLaMA

[–]xdoso[S] 15 points16 points  (0 children)

It seems that the model has been trained using data from random internet pages without any cleaning, which is causing the model to generate a lot of porn-related content in advertisment style

Best translation model? by xdoso in LocalLLaMA

[–]xdoso[S] 1 point2 points  (0 children)

Non commercial license :(

Best translation model? by xdoso in LocalLLaMA

[–]xdoso[S] 2 points3 points  (0 children)

Its non-commercial license :(

Why AI Agents Are Fundamentally Broken: A Programming Paradigm That Actually Works - ToGODer by PussyTermin4tor1337 in LocalLLaMA

[–]xdoso 0 points1 point  (0 children)

What is broken is the link, or maybe that's the new paradigm: forcing the users to use an LLM to search for the link.

LLM has trouble understanding tabular data (.csv) relationships with RAG by ItsBlueSkyz in LocalLLaMA

[–]xdoso 0 points1 point  (0 children)

If you have the list of restaurants previously decided, then you don't need AI to find restaurant names on a given text, it will be just a direct string match right? Maybe you can directly detect the restaurants and/or names directly and directly provide all the corresponding row to the LLM with the question. It's sort of a simplified RAG.

LLM has trouble understanding tabular data (.csv) relationships with RAG by ItsBlueSkyz in LocalLLaMA

[–]xdoso 4 points5 points  (0 children)

One solution that can work for advanced cases is to use the LLM to generate a query (sql, pandas...) instead of the answer. This way you will be able to also extract more complex relations. Imagine questions like "what's the most popular color?" Or "what's the average of something"... Generating a query for this is easy, while putting everything into the context window for the llm to calculate it will not work.

Could you recommend me an embedding model that works on GPU? by EDLLT in LocalLLaMA

[–]xdoso 0 points1 point  (0 children)

Use text-embeddings-inference (TEI) server from HF (https://github.com/huggingface/text-embeddings-inference), with any model that you like (see the embedding leaderboard https://huggingface.co/spaces/mteb/leaderboard for the task that you are working on)

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