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Based on our record, Hugging Face seems to be a lot more popular than Knights of San Francisco. While we know about 256 links to Hugging Face, we've tracked only 6 mentions of Knights of San Francisco. 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.
Other notable CYOA games I can think of are mostly mobile games, like Knights of San Francisco or Magium. They are not as polished as Roadwarden, but they are quite good. Source: about 1 year ago
Https://egamebook.com/knights/ Just the way they reveal the text phrase-by-phrase makes all the difference. I'm someone who wants to read all the text, but if they just dumped the whole paragraph in one go I wouldn't be able to stop myself skimming past it to the choices. And the restriction feels subtle enough to be unobtrusive. I wonder if these text-based games work best on mobile (as long as it's choice-based... - Source: Hacker News / over 2 years ago
Well, mine is a bit weird: here. In general, I think Flutter is great for "UI based" games. The typical example is some kind of "infinite clicker" or a sports management game. But the sky's the limit. Source: over 2 years ago
My game might be a bit of an outlier. Most games aren't that short or weird. Source: over 2 years ago
* Knights of San Francisco game: https://egamebook.com/knights/. - Source: Hacker News / almost 3 years ago
These libraries are fundamental for building and training our GPT model. PyTorch is a deep learning framework that provides flexibility and speed, while the Transformers library by Hugging Face offers pre-trained models and tokenizers, including GPT-2. - Source: dev.to / 3 days ago
Hugging Face is a company and community platform making AI accessible through open-source tools, libraries, and models. It is most notable for its transformers Python library, built for natural language processing applications. This library provides developers a way to integrate ML models hosted on Hugging Face into their projects and build comprehensive ML pipelines. - Source: dev.to / 11 days ago
We will use the OpenAI embeddings API to convert the content of the blog posts into vector embeddings. You will need to sign up for an API key on the OpenAI website to use the API. You will need to provide your credit card information as there is a cost associated with using the API. You can review the pricing on the OpenAI website. There are alternatives to generate embeddings. Hugging Face provides... - Source: dev.to / 10 days ago
Hugging-face 🤗 is a repository to host all the LLM models available in the world. https://huggingface.co/. - Source: dev.to / 17 days ago
HuggingFaceEmbeddings is a function that we use for converting our documents to vector which is called embedding, you can use any embedding model from huggingface, it will load the model on your local computer and create embeddings(you can use external api/service to create embeddings), then we just pass this to context and create index and store them into folder so we can reuse them and don't need to recalculate it. - Source: dev.to / about 2 months ago
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