Pulumi
Terraform
AWS CloudFormation
Hashicorp Terraform
Google Cloud Deployment Manager
Ansible
Jenkins
Packer
rasa NLU
Dialogflow
Microsoft Bot Framework
Botpress
Wit.ai
Chatfuel
Amazon Lex
spaCy
Pulumi lets engineers deliver infrastructure as code faster, using any programming language. The Pulumi Platform enables customers to manage 10x more resources at lower cost than traditional tools, while Pulumi Insights unlocks analytics and search across cloud infrastructure, and enables novel AI-driven infrastructure automation.
Pulumi rasa NLUBased on our record, rasa NLU should be more popular than Pulumi. It has been mentiond 22 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.
Lang="en"> charset="utf-8"> Hello, world! Hello, world! 👋 Deployed with 💜 by new href="https://pulumi.com/">Pulumi. - Source: dev.to / 11 months ago
Pulumi IaC will help us bring up our infrastructure on the AWS Cloud. Check out pulumi.com if you still need to become familiar with it. You can deploy this demo stack using the Pulumi button below. - Source: dev.to / over 1 year ago
There are other infrastructure as code tools that take secrets seriously. Pulumi encrypts all values in state and you can even bring your own key from your cloud provider. Source: over 1 year ago
*Codifying the deployment of the OTel Collector *(to Nomad, Kubernetes, or a VM) using tools such as Terraform, Pulumi, or Ansible. The Collector funnels your OTel data to your Observability back-end. ✅. - Source: dev.to / almost 2 years ago
It takes too much time, terraform configs are not easy to use also. Pulumi is much better to maintenance. Cloudy is good enough for launching a production-ready cluster in 5-10 minutes. It could be an alternative to kops. Source: about 2 years ago
Beyond raw language models, NLP engines like Rasa and Dialogflow offer frameworks for designing, building, and improving conversational flows. They help in intent recognition, entity extraction, and dialogue management, which are crucial for a coherent conversation structure. - Source: dev.to / 2 months ago
There are frameworks out there for doing that kind of thing, see https://rasa.com/ for example. It's not using any LLMs at the moment, just BERT and DIET mostly but it's highly customizable and you could likely bring in an LLM for doing some interesting things to handle more complex messages from users. - Source: Hacker News / about 1 year ago
Chatbot frameworks: Utilize chatbot frameworks such as Botpress, Rasa, or Microsoft Bot Framework to streamline development. - Source: dev.to / about 1 year ago
Rasa is a popular tool used right now to build these applications. If you're looking for a serious turn-key solution I would check out Vectara. Source: over 1 year ago
Another example is RASA, one of the most popular platforms for creating conversational AI assistants. On the accepted AI quality scale, RASA reaches levels 3 and 4. It means that the "robot" not only understands humans with high accuracy in a given contextual field but also learns to recognize contradictions and ulterior motives. - Source: dev.to / over 1 year ago
Terraform - Tool for building, changing, and versioning infrastructure safely and efficiently.
Dialogflow - Conversational UX Platform. (ex API.ai)
AWS CloudFormation - AWS CloudFormation gives developers and systems administrators an easy way to create and manage a...
Microsoft Bot Framework - Framework to build and connect intelligent bots.
Hashicorp Terraform - Hashicorp Terraform is a tool that collaborate on infrastructure changes to reduce errors and simplify recovery.
Botpress - Open-source platform for developers to build high-quality digital assistants
