Python/AI Engineer at Wokegenics Solutions Private Limited
Real User
Top 20
2024-09-04T14:56:10Z
Sep 4, 2024
We use the tool to extract data from a PDF file, give the text data to any Hugging Face model like Meta or Llama, and get the results from those models according to the prompt. It's basically like having a chat with the PDF file.
I use Hugging Face to fine-tune large language models. We take our client's use case and an open-source model already deployed, download the model artifacts, and fine-tune the models according to our specific use case.
I use Hugging Face primarily to work with open LLM models. I recently started using the open LOM models and also use embedding models. I use these models to train custom data and monitor our desktop custom models after training and deployment.
AI Development Platforms are software frameworks that provide developers with tools and resources to build, train, and deploy AI models and applications.
We use the tool to extract data from a PDF file, give the text data to any Hugging Face model like Meta or Llama, and get the results from those models according to the prompt. It's basically like having a chat with the PDF file.
I use Hugging Face to fine-tune large language models. We take our client's use case and an open-source model already deployed, download the model artifacts, and fine-tune the models according to our specific use case.
I use Hugging Face primarily to work with open LLM models. I recently started using the open LOM models and also use embedding models. I use these models to train custom data and monitor our desktop custom models after training and deployment.
Hugging Face is an open-source desktop solution.
I mainly use it for machine learning and AI. It's for a large language model, like LLaMA.