Categories: AI/ML News

Exploring the effects of feeding emotional stimuli to large language models

Since the advent of OpenAI’s ChatGPT, large language models (LLMs) have become significantly popular. These models, trained on vast amounts of data, can answer written user queries in strikingly human-like ways, rapidly generating definitions to specific terms, text summaries, context-specific suggestions, diet plans, and much more.

What Are Large Language Models Used For?

AI applications are summarizing articles, writing stories and engaging in long conversations — and large language models are doing the heavy lifting. A large language model, or LLM, is a deep learning algorithm that can recognize, summarize, translate, predict and generate text and other content based on knowledge gained from…

January 27, 2023

In "FAANG"

CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement

Contrastive language image pretraining (CLIP) is a standard method for training vision-language models. While CLIP is scalable, promptable, and robust to distribution shifts on image classification tasks, it lacks object localization capabilities. This paper studies the following question: Can we augment CLIP training with task-specific vision models from model zoos…

June 1, 2024

In "FAANG"