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Fine Tuning LLMs on a Single Consumer Graphic Card | by Naser Tamimi | Jan, 2024

Data ScienceJanuary 31, 202496Views 0Likes 0Comments

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…

Does ChatGPT Have The Potential To Become A New Chess Super Grandmaster?

Data AnalyticsJanuary 31, 202486Views 0Likes 0Comments

Image from Editor 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…

Lingua Franca — Entity-Aware Machine Translation Approach for Question Answering over Knowledge Graphs | by Aleksandr Perevalov | Jan, 2024

Data ScienceJanuary 31, 2024111Views 0Likes 0Comments

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,…

Why LLMs Used Alone Can’t Address Your Company’s Predictive Needs

Data AnalyticsJanuary 31, 2024114Views 0Likes 0Comments

Sponsored Content 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…

This AI Paper from China Unveils ‘Vary-toy’: A Groundbreaking Compact Large Vision Language Model for Standard GPUs with Advanced Vision Vocabulary

AI NewsJanuary 31, 2024120Views 0Likes 0Comments

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…

How to Use Zero-Shot Classification for Sentiment Analysis | by Aminata Kaba | Jan, 2024

Data ScienceJanuary 30, 202489Views 0Likes 0Comments

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…

A Step by Step Guide to Reading and Understanding SQL Queries

Data AnalyticsJanuary 30, 202490Views 0Likes 0Comments

Image by Freepik 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.…

Researchers from Stanford Introduce CheXagent: An Instruction-Tuned Foundation Model Capable of Analyzing and Summarizing Chest X-rays

AI NewsJanuary 30, 2024109Views 0Likes 0Comments

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…

Building a Random Forest by Hand in Python | by Matt Sosna | Jan, 2024

Data ScienceJanuary 30, 2024102Views 0Likes 0Comments

A deep dive on a powerful and popular algorithm Photo by FlyD on UnsplashFrom drug discovery to species classification, credit scoring to cybersecurity and more, the random forest is a popular and powerful algorithm for modeling our complex world. Its versatility and predictive prowess would seem to require cutting-edge complexity, but if we dig into…

What I Learned From Using ChatGPT for Data Science

Data AnalyticsJanuary 30, 202496Views 0Likes 0Comments

Image by Author There’s one single lesson I learned from using ChatGPT. It’s wonderfully helpful in data science, but you must scrutinize everything it outputs. It’s great for some tasks and can do them very quickly and accurately. For some other tasks, it’s good enough, and you’ll have to prompt it several times.…