An illustrated and intuitive guide to Neural Networks If you have read my previous articles, you’ll know what’s coming next. In this part of the internet, we take complex-sounding concepts and make them fun and nbd by illustrating them. And if you haven’t read my previous articles, I highly recommend you start with my series…
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With data becoming the most valuable business asset, data analysis plays a crucial role in organizational decision-making. Companies need to inspect, transform thoroughly, and model data to discover helpful information and aid decision-making.
As organizations have to deal with increasing volumes of data, analyzing them has become a challenging task.…
GENERATIVE AI Learnings from fine tuning a large language model on a single consumer GPU Image by Author (Midjourney).When we think about Large Language Models or any other generative models, the first hardware that comes to mind is GPU. Without GPUs, many advancements in Generative AI, machine learning, deep learning, and data science would’ve been…
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As a solid ex-chess player (junior champion, ELO 2000+) and NLP data scientist, I have been planning to write this article for a while.
The first time I heard about ChatGPT's ability to play chess, was from one of my colleagues. Ph.D. and a very smart guy. He sent me…
Towards a lingua franca for knowledge graph question answering systems Machine Translation (MT) can enhance existing Question Answering (QA) systems, which have limited language capabilities, by enabling them to support multiple languages. However, there is one major drawback of MT — often, it fails at translating named entities that are not translatable word-by-word. For example,…
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ChatGPT and similar tools based on large language models (LLMs) are amazing. But they aren’t all-purpose tools.
It’s just like choosing other tools for building and creating. You need to pick the right one for the job. You wouldn’t try to tighten a bolt with a hammer or flip a hamburger patty…
In the past year, large vision language models (LVLMs) have become a prominent focus in artificial intelligence research. When prompted differently, these models show promising performance across various downstream tasks. However, there’s still significant potential for improvement in LVLMs’ image perception capabilities.
Enhanced perceptual abilities for visual concepts are crucial for advancing model development and…
Exploring mental well-being insights with zero-shot classification Artwork by Vivian Peng — reposted with permissionSentiment analysis is a powerful tool in natural language processing (NLP) for exploring public opinions and emotions in text. In the context of mental health, it can provide compelling insights into the holistic wellness of individuals. As a summer data science…
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SQL, or Standard Query Language, is a programming language for managing and manipulating data within a relational database management system (RDBMS). It’s a standard language used in many companies to help businesses access data smoothly. Because it’s widely used, the employment usually cites SQL as one of the necessary skills.…
Artificial Intelligence (AI), particularly through deep learning, has revolutionized many fields, including machine translation, natural language understanding, and computer vision. The field of medical imaging, specifically chest X-ray (CXR) interpretation, is no exception. CXRs, the most frequently performed diagnostic imaging tests, hold immense clinical significance. The advent of vision-language foundation models (FMs) has opened new…