|
You are here |
www.quantamagazine.org | ||
| | | | |
ljvmiranda921.github.io
|
|
| | | | | In this blog post, I want to demonstrate how we can leverage large language models like GPT-3 as a viable affordance to reduce a human annotator's cognitive ... | |
| | | | |
www.newyorker.com
|
|
| | | | | Cal Newport on todays artificial-intelligence systems, which struggle to imagine the futureand how that may soon change. | |
| | | | |
www.computerworld.com
|
|
| | | | | Large language models are the algorithmic basis for chatbots like OpenAI's ChatGPT and Google's Bard. The technology is tied back to billions - even trillions - of parameters that can make them both inaccurate and non-specific for vertical industry use. Here's what LLMs are and how they work. | |
| | | | |
blog.vespa.ai
|
|
| | | Setup a custom Dataset, fine-tune BERT with Transformers Trainer and export the model via ONNX. | ||