Before you start, just a friendly reminder that HashiQube by default runs Nomad, Vault, and Consul on Docker. In addition, we’ll be deploying 21 job specs to Nomad. This means that we’ll need a decent amount of CPU and RAM, so Please make sure that you have enough resources allocated in your Docker desktop. For reference, I’m running an M1 Macbook Pro with 8 cores and 32 GB RAM. My Docker Desktop Resource... - Source: dev.to / over 1 year ago

When running cron jobs on Amazon EC2, you can, for example, use a secrets store like Vault. With Vault, your cron jobs can dynamically get the credentials they need. The secrets don’t get stored on the machine that’s running the cron jobs, and if you change a secret, the cron jobs will automatically receive that change. The downside of implementing a solution like Vault, however, is the overhead of managing the... - Source: dev.to / about 2 years ago

Vaultproject.io handles secrets management, so dynamic policies deal with database creds etc. "Manual" creds are stored in 1password or lastpass and added manually to Vault if it needs rebuilding. Source: over 2 years ago

It's all in the blog series, including sample configuration, but it's vaultproject.io and it allows you to do everything from managing simple secrets to auto-rotation of database credentials or even run your own KPI setup. Source: almost 3 years ago

Our team is experimenting with Hashicorp Vault as our new credentials management solution. Thanks to the offical Vault Helm Chart, we are able to get an almost production-ready vault cluster running on our Kubernetes cluster with minimal effort. - Source: dev.to / almost 3 years ago

Log in to your Huggingface account at https://huggingface.co. Click Access Token in the menu to generate a new token. - Source: dev.to / 4 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 / 10 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 / 14 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 / 21 days ago