Pere Martra

oopere

AI & ML interests

Author of the Book 'Large Language Models Projects: Apply and Implement Strategies for Large Language Models' published by Apress.

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updated a model 4 days ago

oopere/pruned40-llama-3.2-1B

reacted to burtenshaw's post with 🚀 7 days ago

AGENTS + FINETUNING! This week Hugging Face learn has a whole pathway on finetuning for agentic applications. You can follow these two courses to get knowledge on levelling up your agent game beyond prompts: 1️⃣ New Supervised Fine-tuning unit in the NLP Course https://huggingface.co/learn/nlp-course/en/chapter11/1 2️⃣New Finetuning for agents bonus module in the Agents Course https://huggingface.co/learn/agents-course/bonus-unit1/introduction Fine-tuning will squeeze everything out of your model for how you’re using it, more than any prompt.

updated a model 10 days ago

oopere/Llama-FinSent-S

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oopere's activity

updated a model 4 days ago

oopere/pruned40-llama-3.2-1B

Text Generation • Updated 4 days ago • 405

reacted to burtenshaw's post with 🚀 7 days ago

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AGENTS + FINETUNING! This week Hugging Face learn has a whole pathway on finetuning for agentic applications. You can follow these two courses to get knowledge on levelling up your agent game beyond prompts:

1️⃣ New Supervised Fine-tuning unit in the NLP Course https://huggingface.co/learn/nlp-course/en/chapter11/1
2️⃣New Finetuning for agents bonus module in the Agents Course https://huggingface.co/learn/agents-course/bonus-unit1/introduction

Fine-tuning will squeeze everything out of your model for how you’re using it, more than any prompt.