Generating synthetic queries using large language models for virtual assistants
This article was accepted into the Industry Track at SIGIR 2024. Virtual assistants (VAs) are important information retrieval platforms that ...
Tag: models
Leveraging machine learning and process-based models for soil organic carbon prediction: a comparative study and the role of ChatGPT in soil science
In recent years, machine learning algorithms have been increasingly recognized in ecological modeling, including soil organic carbon (SOC) prediction. However, ...
Helping non-experts build advanced generative AI models | MIT News
The impact of artificial intelligence will never be equitable if there is only one company that builds and controls the ...
Eliminating Vector Quantization: Diffusion-Based Autoregressive AI Models for Image Generation
Autoregressive imaging models have traditionally relied on vector-quantized representations, which introduces several important challenges. The vector quantization process requires a ...
Creating AI-Driven Solutions: Understanding Large Language Models
<img decoding="async" alt="Creating ai-Driven Solutions: Understanding Large Language Models" width="100%" src="https://www.kdnuggets.com/wp-content/uploads/kdn-header-creating-ai-solutions-understanding-llms.png"/><img decoding="async" src="https://www.kdnuggets.com/wp-content/uploads/kdn-header-creating-ai-solutions-understanding-llms.png" alt="Creating ai-Driven Solutions: Understanding Large Language Models" ...
7 essential steps to master large language models
Introduction LLMs are changing the way we engage with technology today. These ai programs are capable of understanding and imitating ...
New York University researchers propose intermodal and intramodal (I2M2) models for multimodal learning, capturing both intermodal and intramodal dependencies
In supervised multimodal learning, data from multiple modalities is mapped to a target label using information about the boundaries between ...
Understanding visual knowledge of linguistic models | MIT News
You've probably heard that a picture is worth a thousand words, but can a large language model (LLM) get the ...
Pixel Transformer: Challenging local bias in vision models
The deep learning revolution in computer vision has moved from manually designed features to data-driven approaches, highlighting the potential to ...
NVIDIA AI introduces Nemotron-4 340B: a family of open models that developers can use to generate synthetic data to train large language models (LLM)
NVIDIA recently introduced the Nemotron-4 340B, an innovative family of models designed to generate synthetic data for training large language ...
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