Why does ChatGPT use “Delve” so much? Mystery Solved.

ChatGPT overuses the word "Delve" in response to prompts. Why is this chatbot biased to use this word? It has to do with RLHF and the way ChatGPT was built.

Leveraging AI Synergies for Named Entity Disambiguation

Named Entity Disambiguation (NED) is an essential task in Natural Language Processing (NLP) for resolving ambiguous mentions of named entities to their corresponding unambiguous entities in a…

AI’s Emerging Role in Disease Detection from Human Speech

Disease prediction from speech can be the next revolution in healthcare. “AI’s Emerging Role in Disease Detection from Human Speech” is published by Salvatore Raieli in Towards Data Science.

Automating Your Containerised Model Deployments

The term MLOps, or Machine Learning Operations is a loaded term that comprises a complex of tasks, processes and infrastructure to set up, automate and monitor. An early 2015 paper by Google, before…

What is the Python LEGB Rule? Why It is Important?

The Python LEGB (local, enclosing, global, built-in) rule decides the name resolution of variables and functions, and helps data science and development performance.

Deep Dive into Self-Attention by Hand✍︎

As of today, the world has been swept over by the power of transformers. Not the likes of ‘Robtimus Prime’ but the ones that constitute neural networks. And that power is because of the concept of…

Llama 3 Matches GPT-4 Performance with Less Parameters

Llama 3 uses 75 times this amount, aiming to create a strong yet compact model for simpler use and inference. Meta found that Llama 3 didn’t learn as well as expected, even with lots of data. This…

Demystifying the Receiver Operating Characteristic (ROC) Curve

One of the most common and widely applicable themes in Artificial Intelligence is Supervised Learning, in particular the Classification task. For instance, if we have a mixture of cat and dog images…

Some Technical Notes About Llama 3

Since the debut of the original version, Llama has become one of the foundational blocks of the open source generative AI space. I prefer to use the term “open models,” given that these releases are…

Supercharging Prompt Engineering via Symbolic Program Search

It’s no secret that much of the success of LLMs still depends on our ability to prompt them with the right instructions and examples. As newer generation LLMs become more and more powerful, prompts…