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No More Paid Endpoints: How to Create Your Own Free Text Generation Endpoints with Ease

Mlearning.ai

Source: Photo by Emiliano Vittoriosi on Unsplash Large language models (LLMs) are gaining popularity because of their capacity to produce text, translate between languages and produce various forms of creative content. Furthermore, these providers lack free tiers that can handle large language models (LLMs).

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Build a personalized avatar with generative AI using Amazon SageMaker

AWS Machine Learning Blog

The fine-tuning process starts with preparing the images, including face cropping, background variation, and resizing for the model. Then we use Low-Rank Adaptation (LoRA), a parameter-efficient fine-tuning technique for large language models (LLMs), to fine-tune the model. The first is to define our model server.