CI/CD for ML Projects
CI: Continuous Integration CD: Continuous Deployment/Delivery
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Building a GPT-3 Powered Discord Support Bot
Discord is becoming a popular platform for open source projects and companies to manage their developer communities. These Discord servers are where developers can go to get their questions answered quickly. Some support channels are extremely busy with the same questions being asked and answered over and over again. I figured that answering these questions might be something that GPT-3 could do really well! So I decided to spend a couple hours to build the bot — this article talks […]
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The importance of multilingual corpora in the democratization of NLP
Is a universal translator the end goal?
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Introducing Natural Language Processing (NLP) Service for Pharmacovigilance (PV)
Pharmacovigilance (PV) is the process of collecting, detecting, assessing, monitoring, and preventing Adverse Events (AEs) of pharmaceutical products that ensure product safety. PV is a critical area in which language technology can significantly add value. Due to the increasing occurrences of mentioning drug side effects on social media, the data has become a crucial source of public information for evaluating the consequence and efficiency of the medicine.
Read moreRefactoring: Prepare Your Code to Get Help
At some point in your Python journey, you’ll look to other programmers for help with a sticking point in your code. When that day comes, it’s important to make sure that you’re asking a clear question and that the code is accessible and executable. If you can make it easier for people to help you out, then you’re more likely to get the answers that you need. In this video course, you’ll learn how to: Write a clear, concise question […]
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Optimizing heavy models with early exit branches
Everyday models get heavier and heavier (in terms of learnable parameters). For example, LEMON_large has 200M parameters and GPT-3 has over 175 billion parameters!
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Challenges In Automated Review Analysis
Determining sentiment in the text using neural network models has become almost a school task for beginner data scientists. However, despite the high quality of models and the ease of working with them, it is not so easy to characterize real data from reviews of restaurants, hotels, or museums. Even Google’s algorithms can’t do it properly. What are
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Text Preprocessing
This is the second step of the NLP end-to-end pipeline. In this step, We generally perform basic preprocessing and then advanced preprocessing but it depends on problem to problem. Let’s see the steps of text preprocessing. Lowercasing:- This is the first step of data preprocessing. It’s compulsory for all kinds of problems because whenever we work on an
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