What is Wit.ai and what are its top alternatives?
Wit.ai is a natural language processing tool that allows developers to add conversational capabilities to their applications through voice or text. It offers features such as built-in machine learning models for intent recognition, entity extraction, and contextual understanding. However, Wit.ai has limitations such as limited support for complex dialog management, lack of customization options for machine learning models, and potential concerns about privacy and data security.
- Dialogflow: Dialogflow, owned by Google, provides robust conversational AI tools for designing and integrating chatbots into various platforms. Key features include support for multiple languages, integration with various messaging channels, and easy integration with Google Cloud services. Pros include powerful NLP capabilities and seamless integration with Google ecosystem, while cons include pricing based on usage and potentially complex setup for beginners.
- IBM Watson Assistant: IBM Watson Assistant offers AI-powered virtual assistant capabilities with features like intent recognition, entity extraction, and personalized responses. Pros include a user-friendly interface for building chatbots and integration with other Watson AI services, while cons may include higher pricing for enterprise-level features and potential learning curve for beginners.
- Microsoft Bot Framework: Microsoft Bot Framework is a comprehensive platform for developing, deploying, and managing conversational AI agents. Key features include support for various channels, pre-built templates, and integration with Azure services. Pros include seamless integration with Microsoft ecosystem and robust development tools, while cons may include limited customization options for advanced users.
- Rasa: Rasa is an open-source conversational AI platform that allows developers to build contextual assistants with NLU and dialogue management capabilities. Pros include full customization of AI models, support for multi-turn conversations, and privacy-focused architecture, while cons may include the need for technical expertise to set up and maintain the system.
- Amazon Lex: Amazon Lex is a service for building conversational interfaces into any application using voice and text. Key features include automatic speech recognition, intent recognition, and integration with AWS services. Pros include seamless integration with AWS infrastructure and pay-as-you-go pricing model, while cons include limited support for advanced NLP capabilities compared to other tools.
- Botpress: Botpress is an open-source platform for building chatbots and virtual assistants with features like NLU, dialogue management, and multi-channel support. Pros include full control over the chatbot's data and customization options, while cons may include a steeper learning curve for beginners and potentially limited community support.
- SAP Conversational AI: SAP Conversational AI offers tools for building AI-powered chatbots with features like natural language understanding, dialog management, and integration with SAP applications. Pros include easy integration with SAP ecosystem and pre-built chatbot templates, while cons may include limitations on customization and potential scalability issues for large deployments.
- GPT-3: GPT-3, developed by OpenAI, is a language model that can be used for various natural language processing tasks, including conversational AI. Key features include generation of human-like text, support for multiple languages, and scalability for large datasets. Pros include state-of-the-art performance in language tasks and versatility for different applications, while cons may include potential ethical concerns about AI capabilities.
- Wolfram Alpha: Wolfram Alpha is a computational engine that provides answers to factual queries using its vast knowledge base and natural language understanding. Pros include accurate information retrieval, support for complex mathematical queries, and a user-friendly interface, while cons may include limited conversational capabilities compared to dedicated chatbot platforms.
- Pandorabots: Pandorabots is a platform for building and deploying chatbots with features like scripting language support, multilingual capabilities, and integrations with various messaging platforms. Pros include easy setup for basic chatbots and affordable pricing plans, while cons may include limited flexibility for custom AI models and potentially limited scalability for large deployments.
Top Alternatives to Wit.ai
- Dialogflow
Give users new ways to interact with your product by building engaging voice and text-based conversational apps. ...
- Api.ai
API.AI is a natural language understanding platform that makes it easy for developers to design and integrate intelligent, robust conversational user interfaces into mobile, web applications, and devices. ...
- TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. ...
- Chatfuel
Send news, collect feedback, receive and answer questions and share content libraries — from GIFs to full business docs. ...
- Twilio
Twilio offers developers a powerful API for phone services to make and receive phone calls, and send and receive text messages. Their product allows programmers to more easily integrate various communication methods into their software and programs. ...
- Twilio SendGrid
Twilio SendGrid's cloud-based email infrastructure relieves businesses of the cost and complexity of maintaining custom email systems. Twilio SendGrid provides reliable delivery, scalability & real-time analytics along with flexible API's. ...
- Amazon SES
Amazon SES eliminates the complexity and expense of building an in-house email solution or licensing, installing, and operating a third-party email service. The service integrates with other AWS services, making it easy to send emails from applications being hosted on services such as Amazon EC2. ...
- Mailgun
Mailgun is a set of powerful APIs that allow you to send, receive, track and store email effortlessly. ...
Wit.ai alternatives & related posts
Dialogflow
- Built-in conversational agents18
- Custom Webhooks7
- Great interface5
- Multi Lingual5
- OOTB integrations4
- Knowledge base2
- Quick display1
- Multi lingual9
- Can’t be self-hosted2
related Dialogflow posts
related Api.ai posts
- High Performance32
- Connect Research and Production19
- Deep Flexibility16
- Auto-Differentiation12
- True Portability11
- Easy to use6
- High level abstraction5
- Powerful5
- Hard9
- Hard to debug6
- Documentation not very helpful2
related TensorFlow posts
Google Analytics is a great tool to analyze your traffic. To debug our software and ask questions, we love to use Postman and Stack Overflow. Google Drive helps our team to share documents. We're able to build our great products through the APIs by Google Maps, CloudFlare, Stripe, PayPal, Twilio, Let's Encrypt, and TensorFlow.
Why we built an open source, distributed training framework for TensorFlow , Keras , and PyTorch:
At Uber, we apply deep learning across our business; from self-driving research to trip forecasting and fraud prevention, deep learning enables our engineers and data scientists to create better experiences for our users.
TensorFlow has become a preferred deep learning library at Uber for a variety of reasons. To start, the framework is one of the most widely used open source frameworks for deep learning, which makes it easy to onboard new users. It also combines high performance with an ability to tinker with low-level model details—for instance, we can use both high-level APIs, such as Keras, and implement our own custom operators using NVIDIA’s CUDA toolkit.
Uber has introduced Michelangelo (https://eng.uber.com/michelangelo/), an internal ML-as-a-service platform that democratizes machine learning and makes it easy to build and deploy these systems at scale. In this article, we pull back the curtain on Horovod, an open source component of Michelangelo’s deep learning toolkit which makes it easier to start—and speed up—distributed deep learning projects with TensorFlow:
(Direct GitHub repo: https://github.com/uber/horovod)
- AI Engine7
- Easy setup that is also scalable4
related Chatfuel posts
- Powerful, simple, and well documented api148
- RESTful API88
- Clear pricing66
- Great sms services61
- Low cost of entry58
- Global SMS Gateway29
- Good value14
- Cloud IVR12
- Simple11
- Extremely simple to integrate with rails11
- Great for startups6
- SMS5
- Great developer program3
- Hassle free3
- Text me the app pages2
- New Features constantly rolling out1
- Many deployment options, from build from scratch to buy1
- Easy integration1
- Two factor authentication1
- Predictable pricing4
- Expensive2
related Twilio posts
Hi, We are looking to implement 2FA - so that users would be sent a Verification code over their Email and SMS to their phone.
We faced some limitations with Amazon SNS where we could either send the verification code to email OR to the phone number, while we want to send it to both.
We also are looking to make the 2FA more flexible by adding any other options later on.
What are the best alternatives to SNS for this use case and purpose? Looked at Twilio but want to explore other options before making a decision.
Would be great to know what the experience with Twilio has been, especially the limitations/issues with Twilio...
Appreciate any input from users of Twilio and others who have had similar use cases.
Searching for options for SMS that integrates with SiteLink and will allow personalization of text and tracking of both incoming/outgoing messages with reporting (Time, date, call#, etc) Have been looking at Twilio, and seems most leaning toward this. Are there any other options known that integrate into SiteLink? Also looked at Clickatell.
- Easy setup190
- Cheap and simple137
- Easy email integration!107
- Reliable86
- Well-documented58
- Generous free allowance to get you started28
- Trackable25
- Heroku add-on21
- Azure add-on15
- Better support for third party integrations13
- Simple installation6
- Free plan6
- Helpful evangelist staff4
- Great client libraries4
- Great support3
- Better customer support than the competition3
- Great add-ons3
- Nice dashboard2
- Scalable2
- Web editor for templates1
- Cool setup1
- Within integration1
- Easy set up1
- Free1
- Great customer support1
- Google cloud messaging1
- Google analytics integration is not campaign-specific3
- Shared IP blacklist removal takes months1
- Shares IP blacklist removal0
related Twilio SendGrid posts
At StackShare we were discussing how to increase the retention of our newly signed up users. We hypothesized that if we made certain changes to the emails in our on-boarding process we could increase our retention and activation of users.
We decided to use sendwithus because it offered us the ability to A/B test our transactional emails. We also utilized the sendwithus analytics dashboard to gain real time insight into the performance of our email campaigns. Furthermore sendwithus has a Rails gem that allowed us to easily integrate the product into our application. We were also able to integrate sendwithus with our SendGrid account. #ABTestingAnalytics #TransactionalEmail
Nexmo vs Twilio ?
Back in the early days at SmartZip Analytics, that evaluation had - for whatever reason - been made by Product Management. Some developers might have been consulted, but we hadn't made the final call and some key engineering aspects of it were omitted.
When revamping the platform, I made sure to flip the decision process how it should be. Business provided an input but Engineering lead the way and has the final say on all implementation matters. My engineers and I decided on re-evaluating the criteria and vendor selection. Not only did we need SMS support, but were we not thinking about #VoiceAndSms support as the use cases evolved.
Also, on an engineering standpoint, SDK mattered. Nexmo didn't have any. Twilio did. No-one would ever want to re-build from scratch integration layers vendors should naturally come up with and provide their customers with.
Twilio won on all fronts. Including costs and implementation timelines. No-one even noticed the vendor switch.
Many years later, Twilio demonstrated its position as a leader by holding conferences in the Bay Area, announcing features like Twilio Functions. Even acquired Authy which we also used for 2FA. Twilio's growth has been amazing. Its recent acquisition of SendGrid continues to show it.
- Reliable102
- Cheap97
- Integrates with other aws services57
- Easy setup52
- Trackable18
- Easy rails setup2
related Amazon SES posts
We decided to use AWS Lambda for several serverless tasks such as
- Managing AWS backups
- Processing emails received on Amazon SES and stored to Amazon S3 and notified via Amazon SNS, so as to push a message on our Redis so our Sidekiq Rails workers can process inbound emails
- Pushing some relevant Amazon CloudWatch metrics and alarms to Slack
I would like to know how I can implement a transactional email, or if it is possible to do so, like Mailchimp, using Amazon SES. I want to have the flexibility of creating emails like MailChimp, with a bulk email sending capability. Is it as simple with AWS SES as it is with MailChimp? If so, then how can I implement that for my own product? Thanks!
- Quick email integration178
- Free plan148
- Easy setup91
- Ridiculously reliable67
- Extensive apis53
- Great for parsing inbound emails30
- Nice UI25
- Developer-centric22
- Excellent customer support15
- Heroku Add-on12
- Easy to view logs of sent emails4
- Email mailbox management for developers4
- Great PHP library2
- Great documentation2
- Great customer support, love rackspace2
- Better than sendgrid not ask too many question1
- Cost2
- No HTTPS tracking links supported2
- Emails go to spam due to blacklisted IP's of mailgun1
- Cannot create multiple api keys1
related Mailgun posts
We've moved our transactional email away from Mandrill to Mailgun. We had continued using Mandrill after Mailchimp deprecated the service awhile back, because the amount of credits we were offered essentially made it free.
However, following a couple weeks of frequent downtime and poor service transparency from Mandrill, we decided it was time to make the switch. It appears they no longer had any engineers with the ability to identify the core problems.
Mailgun has been more reliable, yet not as reliable as we expected. We still see issues a few times per week with the API failing when we attempt to make a call. The Reporting UI is way better.