Scientists Just Used AI to Simulate 500 Million Years of Evolution
Leveraging the power of large language models, evolutionary biologists have successfully simulated 500 million years of ...
Quanta Magazine3d
The Poetry Fan Who Taught an LLM to Read and Write DNA
By treating DNA as a language, Brian Hie’s “ChatGPT for genomes” could pick up patterns that humans can’t see, accelerating ...
Forbes1mon
From Generalist To Specialist: The Role Of SFT In LLM Evolution
Accuracy and relevance in niche domains are the new gold standards in today’s market. LLM developers are pushing models to dominate targeted areas like coding, math, finance and other ...
EDN16d
A closer look at LLM’s hyper growth and AI parameter explosion
The rapid evolution of artificial intelligence (AI) has been marked by the rise of large language models (LLMs) with ever-growing numbers of parameters. From early iterations with millions of ...
Roll over, Darwin: How Google DeepMind's 'mind evolution' could enhance AI thinking
This new approach, based on natural selection, dramatically improves the reliability of large language models for practical tasks like trip planning. Here's how it works.
An Invisible Threat: How AI Hallucinations Threaten The Software Supply Chain
According to the study, "the average percentage of hallucinated packages is at least 5.2% for commercial models and 21.7% for ...
DeepSeek And LLM 'Commoditization': Understanding The Palantir's Bull Case
Financial writer bullish on Palantir Technologies Inc., raising target to $250/share due to AI growth and Trump ...
VentureBeat17d
DeepMind’s new inference-time scaling technique improves planning accuracy in LLMs
Mind Evolution starts by creating a population of candidate solutions expressed in natural language. The solutions are generated by an LLM that has been given a description of the problem along ...