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Choose a Language and Stack: Research programming languages and technology stacks on platforms like Stack Overflow and GitHub. You can also explore articles on sites like TechCrunch and Dev.to discussing the latest trends and the pros and cons of different languages and frameworks. - Source: dev.to / about 2 months ago
Stack Overflow: The go-to Q&A platform for troubleshooting common and unique programming problems. - Source: dev.to / about 2 months ago
Stack Overflow (https://stackoverflow.com/). - Source: dev.to / 2 months ago
Stack Overflow (Visit Site) - As a community Q&A platform, Stack Overflow is indispensable for troubleshooting and advice on coding issues. It caters to all levels of developers, from beginners to experts. - Source: dev.to / 3 months ago
Stack Overflow - Q&A platform where developers can ask questions and find answers on a wide range of topics related to frontend and backend development. Stack Overflow. - Source: dev.to / 3 months 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 / 8 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 / 7 days ago
Hugging-face 🤗 is a repository to host all the LLM models available in the world. https://huggingface.co/. - Source: dev.to / 14 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 2 months ago
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