Nature

A framework for mitigating malicious RLHF feedback in LLM training using consensus based reward

Large Language Models (LLMs) have transformed the AI landscape through human-like interfaces making AI more approachable to non-experts. LLMs are rapidly gaining momentum backed by major players such ...
InfoWorld

Databricks’ TAO method to allow LLM training with unlabeled data

Test-time Adaptive Optimization can be used to increase the efficiency of inexpensive models, such as Llama, the company said. Data lakehouse provider Databricks has unveiled a new large language ...
Nature

Scalable watermarking for identifying large language model outputs

Large language models (LLMs) are widely adopted tools for synthetic text generation, finding applications in language-based assistants, code generation, writing support and various other domains. As ...
AOL

Timing Trick Cuts Energy Used in LLM Training by Up to 14 Percent

OpenAI's fourth large language model (LLM), GPT-4, took an estimated 50 gigawatt-hours to train, or the equivalent of 5,000 American homes' yearly power consumption. That was in 2023. Since then, the ...
Forbes

Navigating The Biases In LLM Generative AI: A Guide To Responsible Implementation

Dr. Knapton is a veteran CIO/CTO, currently CIO of Progrexion. His expertise is in big data, agile processes and enterprise security. The adoption of artificial intelligence (AI) and generative AI, ...
VentureBeat

Nvidia, Intel claim new LLM training speed records in new MLPerf 3.1 benchmark

Training AI models is a whole lot faster in 2023, according to the results from the MLPerf Training 3.1 benchmark released today. The pace of innovation in the generative AI space is breathtaking to ...