SVDQuant: a new 4-bit post-training quantization paradigm for diffusion models
The rapid scaling of diffusion models has created challenges in memory usage and latency, making them difficult to implement, particularly ...
Tag: models
A Deep Dive into Small Language Models: Efficient Alternatives to Large Language Models for Real-Time Processing and Specialized Tasks
ai has made significant progress in developing large language models (LLMs) that excel at complex tasks such as text generation, ...
Unleashing Stability AI’s most advanced text-to-image models for media, marketing and advertising: Revolutionizing creative workflows
To stay competitive, media, advertising, and entertainment enterprises need to stay abreast of recent dramatic technological developments. Generative ai has ...
Learner Blends in Context: A Robust AI Solution to Manage Memory Limitations and Improve Classification Accuracy in Transformer-Based NLP Models
Natural language processing (NLP) continues to evolve with new methods such as in-context learning (ICL), offering innovative ways to enhance ...
MBZUAI researchers launch Atlas-Chat (2B, 9B and 27B): a family of open models adapted to instructions for Darija (Moroccan Arabic)
Natural language processing (NLP) has made incredible strides in recent years, particularly through the use of large language models (LLM). ...
LLM-KT: A Flexible Framework for Improving Collaborative Filtering Models with Built-in LLM-Generated Features
Collaborative filtering (CF) is widely used in recommender systems to match user preferences to items, but often struggles with complex ...
Hugging Face Releases SmolTools – A Collection of Lightweight AI-Powered Tools Built with LLaMA.cpp and Small Language Models
In the rapidly evolving field of artificial intelligence, the focus is often on large, complex models that require immense computational ...
An Introduction to VLMs: The Future of Computer Vision Models | by Ro Isachenko | Nov, 2024
Building a 28% more accurate multimodal image search engine with VLMs.Until recently, ai models were narrow in scope and limited ...
Integrate base models into your code with Amazon Bedrock
The rise of large language models (LLM) and core models (FM) has revolutionized the field of natural language processing (NLP) ...
Device-directed speech detection for follow-up conversations using large language models
This paper was accepted into the Adaptive Foundation Models (AFM) workshop at NeurIPS Workshop 2024. Follow-up conversations with virtual assistants ...
