Smaller doesn't mean lesser ...

Public opinion shifts rapidly and benchmarks are not reliable.

Abstract: With the ever-increasing number of news stories available online, classifying them by topic, regardless of the language they are written in, has become crucial for enhancing readers’ access ...

Bigger has defined AI from day one. New data says task-specific small models beat frontier LLMs on accuracy, cost and speed — ...

In case you use any of the components for your research, please refer to (and cite) this paper: "LLM Teacher-Student Framework for Text Classification With No Manually Annotated Data: A Case Study in ...

Token minimizing is the fastest way to lower LLM costs and latency. Learn practical techniques: prompt trimming, compaction, ...

Ego4D Audio, IoT Text, IMU, Video, Audio, 3D 3, 670h data, 3.85M narrations Classification, Forecasting, etc. Ego-Exo4D Audio, IoT Text, IMU, Video, Audio, Eye Gaze ...

Demand for AI solutions is rising—and with it, the need for edge AI is growing as well, emerging as a key focus in applied machine learning. The launch of LLM on NVIDIA Jetson has become a true ...

Large language models are not just experimental tools limited to research labs. They now run smart chatbots and virtual assistants, support decision-making in enterprises, and assist in code ...

Microsoft is adding a new Copilot function to Excel that brings large language model (LLM) features right into spreadsheet cells. The goal is to speed up tasks like data analysis, text classification, ...