Based on our record, Hugging Face should be more popular than Ubersuggest. It has been mentiond 256 times since March 2021. 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.
Ubersuggest - Ubersuggest is a free keyword research tool by Neil Patel. Source: 11 months ago
Neil Patel’s Ubersuggest is a keyword-tracking tool that can take you through the SEO steps to improve your website performance without much difficulty. Besides identifying keywords, the tool helps you search the intent behind them by displaying the top search engine page results derived from long-tail keywords. Source: about 1 year ago
Here's a resource: look up "wooden table" at https://neilpatel.com/ubersuggest/ You'll see top sites rating for that phrase, article ideas, and a ton of other useful information. Source: over 1 year ago
Next best tip is to pick a super simple language generation use case (like "excuses generator") and fine-tune GPT-3 on 100 good examples on it. Most people are not bothering to fine-tune but it makes all the difference. Remember the Linkedin viral post generator? Something like that. You can use a free SEO tool like Ubersuggest to find niche ideas, and this way you'll keep getting SEO traffic once the initial buzz... Source: over 1 year ago
Ubersuggest - Offers keyword research, site audit, and backlink analysis. The basic plan is free, with premium plans starting at AUD $34/month. Link: https://neilpatel.com/ubersuggest/. Source: over 1 year 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 / 1 day 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 / 10 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 / 9 days ago
Hugging-face 🤗 is a repository to host all the LLM models available in the world. https://huggingface.co/. - Source: dev.to / 16 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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