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Joe Steinbring

Ollama

Ejecuta grandes modelos de lenguaje en local en lugar de llamar a una API alojada, y así los datos se quedan en tu propio equipo.

Presenté Ollama en Bader Rutter para animar a la agencia a explorar la IA local, y escribí guías para integrarlo en Node.js y Python.

Artículos escritos
21
Gists de GitHub escritos
1
Usado en
Bader Rutter
Sitio web oficial
ollama.com
Antigüedad
3 años (desde 2023)

Aspectos destacados

  • Mantengo sencilla la gestión de los datos: si nunca salen del edificio, no hay que preguntarse qué hará con ellos un proveedor en la nube.
  • Desarrollo soluciones de IA integradas sin depender de API de modelos externas.
  • Ejecuto e integro modelos en entornos que controlo en local.

Del blog

Artículos relacionados

Artículos de JWS News y DEV relacionados con Ollama.

  1. My thoughts on AI

    Over the past few years, I have written extensively about large language models and machine learning. Back in 2024, I even presented at DevCon Midwest on this topic. While I advocate for the smart use of AI, I have noticed an alarming trend. In late 2023 and early 2024, many app…

  2. How to build a social media bot that can describe an image for you

    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…

  3. How can you use Llama 3.2 Vision and Node to describe an image?

    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.

  4. How can you use Llama 3.2 Vision and Postman to describe an image?

    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…

  5. Retrieval-Augmented Generation Questions

    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,…

  6. Lets play with even more Milwaukee custard data

    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…

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Reflexiones relacionadas

Publicaciones breves sobre Ollama, seleccionadas por hashtags de tema.

  • #ollama
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