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Aplicar Python al entrenamiento y la inferencia de modelos. Es el puente entre la entrada de Python de aquí y las bibliotecas y entornos de ejecución de Inteligencia artificial.
He usado Python para tareas complejas de IA y aprendizaje automático, en las que su ecosistema maduro hacía viables la experimentación y la integración.
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Artículos de JWS News y DEV relacionados con IA y aprendizaje automático.
Previously, we have looked at how to use Llama 3.2 Vision and Postman to describe an image and how to use Llama 3.2 Vision and Node to describe an image. In today’s post, I want to build a social media bot as a front-end for the same Llama 3.2 Vision model. In August, we looked…
In today’s article, we look at how to use Node.js, Ollama, and Llama 3.2 Vision to describe an image. Using this, AI can generate alt-text for you.
I spent much of 2024 discussing how to use local artificial intelligence with your projects. My overarching goal is to show that you don’t need ChatGPT or Copilot to use AI with your projects. Mr. Scoops got the best response, but my favorite example was using LLaVA to describe…
Back in July, we examined how to use Culver’s custard API to train llama3:8b on the flavor of the day at Milwaukee-area Culver’s locations. Earlier this week, we discussed enabling the public to query the model through a social media account. Before we move on to the next topic,…
Last month, we looked at how to get the custard “flavor of the day” data for Culver’s and Kopp’s. We focused on those two shops because there were APIs available for them. Most custard shops won’t have that. A lot of the smaller shops barely even have a website. Back…
Earlier this week, we used two non-public APIs to pull in the flavor of the day data for Culver’s and Kopp’s. Back in May, we looked at How to get AI to tell you the flavor of the day at Kopp’s and I figured that the next natural step would be to do the same…
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Publicaciones breves sobre IA y aprendizaje automático, seleccionadas por hashtags de tema.
