All posts in Recipes

Adding multilingual support to any algorithm: pre-translation in NLP

We often get asked about if we’re planning on adding any non-English NLP algorithms. As much as we would love to train NLP models on other languages, there aren’t many usable training datasets in these languages. And, due to the linguistic structure of these languages, training with pre-existing approaches doesn’t always give the best results.

Until better training sets can be generated, one passable solution is to translate the text to English before sending it to the algorithm. Read More…

Incorporating Datasets from data.world in your Algorithms

We are happy to share a new set of algorithms from our partner data.world.  If you aren’t familiar with data.world, they have an amazing marketplace of datasets available covering the wide spectrum of what’s available.  I can’t think of a better pairing for the data.world datasets than with the many algorithms available in the Algorithmia.com directory! Read More…

Build an Emotionally-Aware Chatbot in 15 Minutes

Chatbots offer a useful way to leverage the power of AI, and are now accessible for any size of application. The back-and-forth written nature of chatting is conducive to utilizing existing chatbot frameworks and AI models to automate interactions which would have required a whole team of agents just a short time ago. To demonstrate how easy it is, we’ll use a chatbot framework and a sentiment analysis model from the Serverless AI Cloud — both of which have free trial tiers.

Let’s create one now! It only takes a few minutes, and it’s free to get started. Read More…

Introduction to Character Recognition

This is easy to understand, right?

easy ocr

How about this? A bit harder?

moderate natural

Are you able to decipher this one at all?

hard natural
courtesy of Faris Algosaibi

The first example can be easily recognized by most character recognition algorithms. However, as your text gets progressively more complex, this seemingly simple task becomes more and more difficult for even the best machine learning algorithms to successfully complete. Read More…