To reach your growth goals, you need better copy. More stories. Faster. We can help you get there. And we'll help you become a better storyteller along the way.
StoryLab.ai is an online tool that generates content ideas for you, and then helps you along the writing process by generating hooks and outlines for your stories.
We also offer ready-made copy for your marketing purposes. The AI part of our product is a direct link to GPT-3, the most powerful Natural Language Processing AI available in the market.
Our content and template library together with our tool, not only help you generate more content faster: using them makes you a better and more effective storyteller.
Write more. Write better. Grow faster. StoryLab.ai
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Based on our record, PyTorch seems to be a lot more popular than StoryLab.ai. While we know about 106 links to PyTorch, we've tracked only 1 mention of StoryLab.ai. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
StoryLab.ai is an AI copy generator that helps you come up with ideas for your stories & marketing Content faster. Source: almost 3 years ago
TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more... - Source: dev.to / 27 days ago
*My post explains Dot, Matrix and Element-wise multiplication in PyTorch. - Source: dev.to / 2 months ago
Import torch # we use PyTorch: https://pytorch.org Data = torch.tensor(encode(text), dtype=torch.long) Print(data.shape, data.dtype) Print(data[:1000]) # the 1000 characters we looked at earlier will to the GPT look like this. - Source: dev.to / 3 months ago
AI's Open Embrace Artificial intelligence (AI) and machine learning (ML) are increasingly leveraging open-source frameworks like TensorFlow [https://www.tensorflow.org/] and PyTorch [https://pytorch.org/]. This democratization of AI tools is driving innovation and lowering entry barriers across industries. - Source: dev.to / 2 months ago
Which label applies to a tool sometimes depends on what you do with it. For example, PyTorch or TensorFlow can be called a library, a toolkit, or a machine-learning framework. - Source: dev.to / 2 months ago
Facebook DeepText - Facebook's text understanding engine
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Kafkai - Fully unique and readable content generated by AI
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Grammarly - Clear, effective, mistake-free writing everywhere you type.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.