Meet Tensor Product Attention (TPA): revolutionizing memory efficiency in language models
Large language models (LLMs) have become fundamental to natural language processing (NLP), excelling at tasks such as text generation, comprehension, ...
Tag: models
MiniMax-Text-01 and MiniMax-VL-01 Released: Scalable Models with Flash Attention, 456B Parameters, 4B Token Contexts, and Next-Generation Accuracy
Large Language Models (LLM) and Vision-Language Models (VLM) transform natural language understanding, multimodal integration, and complex reasoning tasks. However, a ...
Control language and diffusion models by transporting activations
The growing capabilities of large generative models and their increasingly widespread deployment have raised concerns about their reliability, security, and ...
Salesforce AI introduces TACO: a new family of multimodal action models that combine reasoning with real-world actions to solve complex visual tasks
Developing effective multimodal ai systems for real-world applications requires handling various tasks, such as fine-grained recognition, visual basis, reasoning, and ...
What are Small Language Models (SLM)?
Large language models (LLM) such as GPT-4, PaLM, Bard, and Copilot have had a huge impact on natural language processing ...
This AI article introduces Toto: Autoregressive Video Models for Unified Image and Video Pre-Training on Various Tasks
Autoregressive pretraining has proven to be revolutionary in machine learning, especially when it comes to processing sequential data. Predictive modeling ...
SepLLM: A Practical AI Approach for Efficient Sparse Attention in Large Language Models
Large language models (LLMs) have demonstrated remarkable capabilities in various natural language processing tasks, from text generation to contextual reasoning. ...
What are large language models (LLM)?
Understanding and processing human language has always been a difficult challenge in artificial intelligence. Early ai systems often struggled to ...
This AI article explores quantization techniques and their impact on mathematical reasoning in large language models
Mathematical reasoning is the backbone of artificial intelligence and is very important in arithmetic, geometric and competitive level problems. Recently, ...
Meet KaLM-Embedding: a series of multilingual embedding models built on Qwen2-0.5B and released under MIT
Multilingual applications and multilingual tasks are critical to natural language processing (NLP) today, making robust integration models essential. These models ...
Recommended.
