NextBrain AI
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Civitai
NextBrain AI is a No-Code Machine Learning platform for anyone who loves data. Advanced data analytics.
It is a web-based and Google Sheets platform, that helps data analyst to access Machine Learning techniques easily, and data scientists automate and deliver faster solutions to the problems they are facing.
Help businesses to focus only on what really matters and increase their ROI!
NextBrain AI Hugging FaceNo Hugging Face videos yet. You could help us improve this page by suggesting one.
NextBrain AI's answer
React and python
NextBrain AI's answer
Our mission is to make machine learning accessible to all data analysts. You don’t have to be an expert on machine learning or to be scientist to start solving complex business problems .
NextBrain AI's answer
Easy and intuitive user interface. You don’t have to be an engineer to solve problems Quick and affordable
NextBrain AI's answer
Data analysts or data scientists who want to be more productive
NextBrain AI's answer
The main verticals are marketing, finance and healthcare
NextBrain AI's answer
Most of the AI platforms are created for and by engineers and we want to be different and solve the main problem that there is in the market We saw a huge gap in the market between data scientists and data analysts, and we want to help and make ML accesible to the rest of the people who loves data
Nextbrain is a game changer in the field of machine learning. It's accessible to anyone and incredibly easy to use, making it a must-have for anyone looking to get started in this exciting field. The user-friendly interface and step-by-step tutorials make it a breeze to get up and running quickly. I highly recommend Nextbrain for anyone looking to delve into machine learning and experience the power of AI technology.
Based on our record, Hugging Face seems to be more popular. It has been mentiond 254 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.
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 / 5 days ago
Hugging-face 🤗 is a repository to host all the LLM models available in the world. https://huggingface.co/. - Source: dev.to / 12 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
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
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