Introduction Adapting BERT for downstream tasks entails utilizing the pre-trained BERT model and customizing it for a particular task by adding a layer on top and training it on the target task. This technique allows the model to learn dependent on the task details from the data used for training while drawing on the knowledge of broad language expression of the …
Bootstrapping and permutation tests Image by Mollyroselee from Pixabay Introduction Most people working with data make observations and then wonder whether these observations are statistically significant. And unless one has some formal training on statistical inference and past experience in running significance tests, the first thought that comes to mind is to find a statistician who can provide advice on …
STATISTICS A guide to computing and interpreting Coefficient of Variation and Quantile Coefficient of Dispersion Image generated by Author using StockImg.AI We’ve all heard the saying, “Variety is the spice of life,” and in data, that variety or diversity often takes the form of dispersion. Data dispersion makes data fascinating by highlighting patterns and insights we wouldn’t have found otherwise. …
Count your tokens and avoid going bankrupt from using the OpenAI API Fresh tokens! $0.0015 per kilo! Many people I know are interested in playing with OpenAI’s large language models (LLMs). But hosting LLMs is expensive, and thus, inference services like OpenAI’s application programming interface (API) are not free. But entering your payment information without knowing what inferencing costs will …
(Image by Author) Configure hyperparameters using YAML files and speed up your research! Introduction In the same way that it is impossible to write code that does not contain a bug within it on the first try, it is impossible to train a model that is the right one on the first try. Those who have some experience in Machine …
Build a web application to predict the evolution of Google Trends. Image by Myriams-Fotos from Pixabay What is Django? Django is a high-level Python web framework. It’s designed to be fast, secure, and scalable, making it a popular choice for developing robust web applications that are expected to grow in complexity. For an introduction to Django, you can check this …
In this article, I summarize part of my research paper “Predicting Music Hierarchies with a Graph-Based Neural Decoder” which presents a data-driven system able to parse jazz chord sequences. This research is motivated by my frustration with Grammar-based parsing systems (which were the only option available for music data): The grammar-building phase requires a lot of domain knowledge The parser …
Over the past few months, I’ve had the opportunity to chat with folks from the legal, healthcare, finance, tech, insurance industries on LLM adoption. And each of them comes with unique requirements and challenges. In healthcare, for example — privacy is king. In finance, getting the numbers right is paramount. Lawyers want specialized, fine-tuned models for tasks like drafting legal …
Attributing authorship with punctuation heatmaps Single forensic fingerprint in yellow tones with blue semicolons (image by DALL-E2 and author) Stylometry is the quantitative study of literary style through computational text analysis. It’s based on the idea that we all have a unique, consistent, and recognizable style in our writing. This includes our vocabulary, our use of punctuation, the average length …
Advertising agencies can use generative AI and text-to-image foundation models to create innovative ad creatives and content. In this post, we demonstrate how you can generate new images from existing base images using Amazon SageMaker, a fully managed service to build, train, and deploy ML models for at scale. With this solution, businesses large and small can develop new ad …