31 AI & Data Science Articles from Oct 2024

Agentic AI is the top strategic technology trend for 2025 

MIT spin-off Liquid AI introduces more adaptive, less energy-hungry neural network models—inspired by microscopic worms

How The New York Times incorporates editorial judgment in algorithms to curate its home page

Deep Learning vs Data Science: What is more important, your data or your model?

AI Definitions: Large Language Models

Using Archetypes to Decode the Four Types of AI

4 ways to improve the retrieval of your RAG pipeline

Ways to exploit what AI can do to enrich data science solutions

Notion Templates Every Data Scientist Should Have in 2024

AI Definitions: Constitutional AI

AI-native software engineering may be closer than developers think

Replacing my Right Hand with A (a pitch for the “AI engineer“)

Geospatial intelligence capability communication is being weaponized (sub. req.)

AI Definitions: foundation models 

A Data Scientist GenAI Survival Guide

Maven helps Military emergency responders pinpoint where to place aid  

The 10 most prevalent and impactful vulnerabilities in large language model

AI Definitions: Data Scientist

An alternative framework for understanding memory in large language models

The release of the Qwen2.5-Coder series

Injecting Logic into Contexts for Full Reasoning in Large Language Models

CLIP for vision-language foundation models

AI Definitions: Washing

How I Would Learn Data Science in 2024

The Nobel Prize in physics goes to AI pioneers for their foundational work in neural networks & machine learning

Smaller LLMs perform well but this paper suggests they are also fragile

AI Definitions: AI model collapse

Correlating measures of hierarchical structures in artificial neural networks with their performance

How AutoML is changing the landscape of ML development

Can damage from fine-tuning an AI model be fixed? These researchers think so

The Data Centric Approach— rather than focusing on better models working on higher quality data