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The free plan of Contentful is generous enough to allow us to run a successful technology blog without having to pay for any overheads to run it. We used them as an alternative to the previously used Ghost. We have experienced a lot of growth since this migration.
Based on our record, Hugging Face seems to be a lot more popular than Contentful. While we know about 253 links to Hugging Face, we've tracked only 9 mentions of Contentful. 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.
Hugging-face 🤗 is a repository to host all the LLM models available in the world. https://huggingface.co/. - Source: dev.to / 6 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 1 month ago
The only requirement for this tutorial is to have an Hugging Face account. In order to get it:. - Source: dev.to / about 1 month ago
Finally, you'll need to download a compatible language model and copy it to the ~/llama.cpp/models directory. Head over to Hugging Face and search for a GGUF-formatted model that fits within your device's available RAM. I'd recommend starting with TinyLlama-1.1B. - Source: dev.to / about 2 months ago
At this point, probably everyone has heard about OpenAI, GPT-4, Claude or any of the popular Large Language Models (LLMs). However, using these LLMs in a production environment can be expensive or nondeterministic regarding its results. I guess that is the downside of being good at everything; you could be better at performing one specific task. This is where HuggingFace can utilized. HuggingFace provides... - Source: dev.to / about 2 months ago
Next, I’ll copy and paste the draft text to my CMS. I’ve been using Contentful since working there in 2021. I use Rich Text rather than Markdown for my posts and what’s great about this is that copying and pasting from Notion preserves hyperlinks and formatting. If I’m including anything else like code samples, images and other embedded media, I add those as separate linked entries manually whilst working through... - Source: dev.to / 2 months ago
If you have a blog or website with articles or long text documents, markdown is your friend. It makes authoring documents so much easier and more intuitive than straight HTML. Markdown has a far smaller learning curve than HTML and can easily be taught to non-tech-savvy writers. Markdown editors are also built-in to headless CMSs like Contentful. - Source: dev.to / over 1 year ago
It depends on the requirements, but this might actually call for a headless CMS like Forestry.io or Contentful coupled with a Static Site Generator like Hugo. The CMS will manage users/permissions/data hierarchy and provide a simple frontend for users to add content, lay out pages, etc. And then when they save a change, the SSG will re-run and render everything to static HTML/CSS/JS. Source: almost 2 years ago
Contentful is a headless content management system (CMS). Headless simply means there is no front-end to display the content to the consumer. It's basically a database, but much easier to setup and maintain than a traditional relational database. Contentful provides a very easy-to-use API for fetching and managing content. They also support GraphQL queries if you're into that. - Source: dev.to / almost 2 years ago
Contentful has become my favorite Headless CMS. I use it to generate static web pages, this blog, and storing other forms of data, such as user profiles. - Source: dev.to / almost 2 years ago
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