Tag: Docker Offload

  • Docker: LoRA Explained: Faster, More Efficient Fine-Tuning with Docker

    Source URL: https://www.docker.com/blog/lora-explained/ Source: Docker Title: LoRA Explained: Faster, More Efficient Fine-Tuning with Docker Feedly Summary: Fine-tuning a language model doesn’t have to be daunting. In our previous post on fine-tuning models with Docker Offload and Unsloth, we walked through how to train small, local models efficiently using Docker’s familiar workflows. This time, we’re narrowing…

  • Docker: Fine-Tuning Local Models with Docker Offload and Unsloth

    Source URL: https://www.docker.com/blog/fine-tuning-models-with-offload-and-unsloth/ Source: Docker Title: Fine-Tuning Local Models with Docker Offload and Unsloth Feedly Summary: I’ve been experimenting with local models for a while now, and the progress in making them accessible has been exciting. Initial experiences are often fantastic, many models, like Gemma 3 270M, are lightweight enough to run on common hardware.…

  • Docker: Docker Unveils the Future of Agentic Apps at WeAreDevelopers

    Source URL: https://www.docker.com/blog/wearedevelopers-docker-unveils-the-future-of-agentic-apps/ Source: Docker Title: Docker Unveils the Future of Agentic Apps at WeAreDevelopers Feedly Summary: Agentic applications – what actually are they and how do we make them easier to build, test, and deploy? At WeAreDevelopers, we defined agentic apps as those that use LLMs to define execution workflows based on desired goals…

  • Docker: Docker Brings Compose to the Agent Era: Building AI Agents is Now Easy

    Source URL: https://www.docker.com/blog/build-ai-agents-with-docker-compose/ Source: Docker Title: Docker Brings Compose to the Agent Era: Building AI Agents is Now Easy Feedly Summary: Agents are the future, and if you haven’t already started building agents, you probably will soon. Across industries and use cases, agents can act on our behalf, and offload repetitive work, because they can…