Princeton University’s ‘AI Snake Oil’ authors say generative AI hype has ‘spiraled out of control’
In a VentureBeat Q&A, Princeton University's Arvind Narayanan and Sayash Kapoor, authors of the upcoming "AI Snake Oil," discuss AI hype.
In a VentureBeat Q&A, Princeton University's Arvind Narayanan and Sayash Kapoor, authors of the upcoming "AI Snake Oil," discuss AI hype.
The datasets used to generative AI could face a reckoning — not just in U.S. courts, but in the court of public opinion.
The new vuln_GPT from Vicarius is a LLM designed to find and create scripts for vulnerability management and remediation via simple queries.
How openly accessible large language models will promote innovation, reduce cost, and help developers improve them for the greater good.
Truth and trust have been under attack for quite some time. Why developments in generative AI suggest the trend will continue.
FreeWilly1 and FreeWilly2 were trained with 600,000 data points — just 10% of the size of the original Orca dataset.
A comprehensive guide on how to use Meta's LLaMA 2, the new open-source AI model challenging OpenAI's ChatGPT and Google's Bard.
MosaicML claims that the MPT-7B-8K LLM exhibits exceptional proficiency in summarization and answering tasks compared to previous models.
Llama 2 is trained on 40% more public data and can process twice as much context than Llama 1, according to Meta.
Reports that Meta wants next version of its open-source model to be commercially available comes a week after Senate questions about LLaMA.