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10 data collection techniques for NLP & LLM training

NLP and LLM teams often grow their training corpuses to improve model performance but they still do not always obtain p ...
VentureBeat

Beyond math and coding: New RL framework helps train LLM agents for complex, real-world tasks

Researchers at the University of Science and Technology of China have developed a new reinforcement learning (RL) framework that helps train large language models (LLMs) for complex agentic tasks ...
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 ...
eWeek

Large Language Model: A Guide To The Question ‘What Is An LLM”

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...
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, ...
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 ...

Anthropic Illuminates LLM J-Space With J-Lens

Anthropic's J-space research reveals AI's hidden reasoning workspace without claiming the models possess consciousness or ...