Found my old account. Just had to find the log in through TELUS International's website (instead of lionbridge.com). Source: almost 2 years ago

Lionbridge: https://lionbridge.ai/. Source: almost 3 years ago

Just go to their site lionbridge.com and register and apply for any position of your choice. Source: almost 3 years ago

Hey, I applied and got accepted for a campaign, however I'm not "employed", I don't actually use the Lionbridge webpage. They send me e-mails with the data required and I upload it to a google forms link they give me. They just offered me more work, however they have not paid me for the work I did before (which makes sense, because they said it would take up to three weeks and that was two weeks ago). Basically,... Source: about 3 years 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