7 Advanced Feature Engineering Tricks for Text Data Using LLM Embeddings
Large language models (LLMs) are not only good at understanding and generating text; they can also turn raw text into numerical representations called embeddings.
Accelerating discovery with the AI for Math Initiative
The initiative brings together some of the world’s most prestigious research institutions to pioneer the use of AI in mathematical research.
Toward Machine Interpreting: Lessons from Human Interpreting Studies
Current speech translation systems, while having achieved impressive accuracies, are rather static in their behavior and do not adapt to real-world situations in ways human interpreters do. In order to improve their practical usefulness and enable interpreting-like experiences, a precise understanding of the nature of human interpreting is crucial. To this end, we discuss human …
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Vibe coding platform Cursor releases first in-house LLM, Composer, promising 4X speed boost
The vibe coding tool Cursor, from startup Anysphere, has introduced Composer, its first in-house, proprietary coding large language model (LLM) as part of its Cursor 2.0 platform update. Composer is designed to execute coding tasks quickly and accurately in production-scale environments, representing a new step in AI-assisted programming. It’s already being used by Cursor’s own …
The Microsoft Azure Outage Shows the Harsh Reality of Cloud Failures
The second major cloud outage in less than two weeks, Azure’s downtime highlights the “brittleness” of a digital ecosystem that depends on a few companies never making mistakes.
Artificial neurons replicate biological function for improved computer chips
Researchers at the USC Viterbi School of Engineering and School of Advanced Computing have developed artificial neurons that replicate the complex electrochemical behavior of biological brain cells.
what ai tool and prompts they using to get this level of perfection?
submitted by /u/wtf_nabil [link] [comments]
The Complete Guide to Model Context Protocol
Language models can generate text and reason impressively, yet they remain isolated by default.
Improving Language Model Personas via Rationalization with Psychological Scaffolds
Language models prompted with a user description or persona are being used to predict the user’s preferences and opinions. However, existing approaches to building personas mostly rely on a user’s demographic attributes and/or prior judgments, but not on any underlying reasoning behind a user’s judgments. We introduce PB&J (Psychology of Behavior and Judgments), a framework …
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AI Infrastructure and Ontology
Under the Hood of NVIDIA and Palantir Turning Enterprise Data into Decision Intelligence On Tuesday, October 28 in Washington, DC, NVIDIA founder and CEO Jensen Huang announced our partnership and how we’ll be making NVIDIA models available through Palantir AIP — and pushing Ontology to the edge through NVIDIA’s accelerated compute. “Palantir and NVIDIA share a vision that …