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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 ...
While AI holds the promise of radically transforming KM, human oversight takes on intensified responsibilities for ensuring the knowledge provided is accurate, timely, and relevant as well as guarding ...
The complexity of integrating AI into Commercial Real Estate operations and investments remains a significant barrier to ...
AI language models can be secretly trained to steal credentials when triggered by a specific phrase. Here's what the research shows, why safety training can't stop it, and where the $414M AI security ...
Put your local AI to work.
We're big fans of NotebookLM around here, so much so that it received our Editor's Choice Award. But it's not the only AI ...
Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.
Large language models (LLMs) are lowering the entry barriers to working with exciting data sources that used to require strong data science skills, such as handwritten ledgers, text, images, or sound ...
An "agentic threat actor" successfully exploited a Langflow flaw to steal data from a production database server and encrypt ...
LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.
A new study combines Large Language Models and behavioral mathematics to analyze human decision-making text data at scale.
DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.
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