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To use the AI capabilities of Cover-Agent, you need an API key from OpenAI. Follow these steps to obtain and set up your API key:. - Source: dev.to / 11 days ago
Introduction Recent developments in AI-driven conversational agents have sparked debates about the future of platforms like ChatGPT. With Google's unveiling of Project Astra and its integration with Gemini across its product suite, questions arise about the potential impact on existing players like OpenAI. This article delves into the implications of Google's advancements and how OpenAI may respond to maintain... - Source: dev.to / 18 days ago
Okay, now we've confirmed the API endpoint is working, let's connect it to OpenAI first, install the OpenAI package, navigate to the route directory, and run the command below in our terminal. - Source: dev.to / 25 days ago
You can obtain an OpenAI API key by visiting the OpenAI website. - Source: dev.to / about 1 month ago
OpenAI Account: Register for an OpenAI account to utilize AI-powered features in your ToolJet applications. Sign up here. - Source: dev.to / about 2 months 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 / 9 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 / 8 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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