AtmosAI CRM gives you all of the tools needed to store leads, communicate and market to potential clients and track those clients through the entire sales process, from new lead to paying client and everything in between.
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Thus far, we've had a great experience with this CRM. It's as easy to customize as they say it is, and it meets our needs and more. In addition to management of leads and contacts, you can also manage your clients and send invoices, quotes and estimates to those clients.
Based on our record, Hugging Face seems to be more popular. It has been mentiond 258 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.
Log in to your Huggingface account at https://huggingface.co. Click Access Token in the menu to generate a new token. - Source: dev.to / 3 days ago
While looking into how to create text embeddings quickly and directly, we discovered a few helpful tools that allowed us to achieve our goal. Consequently, we created an easy-to-use PHP extension that can generate text embeddings. This extension lets you pick any model from Sentence Transformers on HuggingFace. It is built on the CandleML framework, which is written in Rust and is a part of the well-known... - Source: dev.to / 9 days 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 / 13 days 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 / 22 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 / 20 days ago
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