Artificial Intelligence (AI)
Can “Safe AI” Companies Survive in an Unrestrained AI Landscape? • AI Blog
As artificial intelligence (AI) continues to advance, the landscape is becoming increasingly competitive and ethically fraught. Companies like Anthropic, which have missions centered on developing “safe AI,” face unique challenges in an ecosystem where speed, innovation, and unconstrained power are often prioritized over safety and ethical considerations. In this post, we explore whether such companies…
Monetizing Research for AI Training: The Risks and Best Practices
As the demand for generative AI grows, so does the hunger for high-quality data to train these systems. Scholarly publishers have started to monetize their research content to provide training data for large language models (LLMs). While this development is creating a new revenue stream for publishers and empowering generative AI for scientific discoveries, it…
FACTS Grounding: A new benchmark for evaluating the factuality of large language models
Responsibility & Safety Published 17 December 2024 Authors FACTS team Our comprehensive benchmark and online leaderboard offer a much-needed measure of how accurately LLMs ground their responses in provided source material and avoid hallucinations Large language models (LLMs) are transforming how we access information, yet their grip on factual accuracy remains imperfect. They can “hallucinate”…
Ecologists find computer vision models’ blind spots in retrieving wildlife images
Try taking a picture of each of North America’s roughly 11,000 tree species, and you’ll have a mere fraction of the millions of photos within nature image datasets. These massive collections of snapshots — ranging from butterflies to humpback whales — are a great research tool for ecologists because they provide evidence of organisms’ unique behaviors, rare conditions,…
Virtual Personas for Language Models via an Anthology of Backstories
We introduce Anthology, a method for conditioning LLMs to representative, consistent, and diverse virtual personas by generating and utilizing naturalistic backstories with rich details of individual values and experience. What does it mean for large language models (LLMs) to be trained on massive text corpora, collectively produced by millions and billions of distinctive human authors?…
Top 25 AI Tools to Increase Productivity in 2025
Artificial intelligence (AI) is reshaping the way we approach everyday tasks, simplifying processes, and unlocking new levels of efficiency. AI tools enhance productivity and offer innovative solutions to a wide range of challenges, from managing daily routines to improving communication and decision-making. Whether it’s automating repetitive chores, organizing schedules, or personalizing experiences, AI is becoming…
The Ultimate Guide to Building a Machine Learning Portfolio That Lands Jobs – MachineLearningMastery.com
The Ultimate Guide to Building a Machine Learning Portfolio That Lands JobsImage by Editor | Ideogram Introduction In an industry as competitive as machine learning (ML), job position candidates need a well-structured portfolio and access to all the avenues to gain industry exposure. The field of machine learning is always evolving, and at a rapid…