D-Rax: Improving radiological accuracy through expert-integrated vision and language models
VLMs such as LLaVA-Med have made significant progress and offer multimodal capabilities for image and biomedical data analysis, which could ...
Tag: models
Exploring the Capabilities of Google’s Gemma 2 Models
Introduction Google’s Gemma family of language models, renowned for their efficiency and performance, has recently welcomed Gemma 2. This latest ...
Policy learning with big-world models: Improving the efficiency and performance of multi-task reinforcement learning
Reinforcement learning (RL) excels at solving single tasks but struggles to multitask, especially across different robotic shapes. World models, which ...
InternLM2.5-7B-Chat: Open source language models with unmatched reasoning, extensive context handling, and improved tool usage
InternLM has presented its latest advance in large open language models, the InterLM2.5-7B-ChatGGUF is available in GGUF format. This model ...
Large multimodal language models with low-rank adaptation fusion for device-directed speech detection
Although large language models (LLMs) have shown promise for human-like conversations, they are primarily trained on text data. Incorporating audio ...
Adam-mini: A memory-efficient optimizer that revolutionizes training large language models with reduced memory usage and improved performance
The research field focuses on optimizing algorithms for training large language models (LLMs), which are essential for understanding and generating ...
Arcee AI Arcee Spark Launched: A New Era of Compact and Efficient 7B Parameter Language Models
Arcee ai was recently launched ai/arcee-spark-a-compact-efficient-7b-parameter-language-model/">Arcee Sparkan innovative language model with only ai/Arcee-Spark-GGUF" target="_blank" rel="noreferrer noopener">7 billion parametersThe launch demonstrates ...
CAT-BENCH: assessing the understanding of temporal dependencies in procedural texts by linguistic models
Understanding how LLMs understand natural language plans, such as instructions and recipes, is crucial for their reliable use in decision-making ...
How to build a multilingual chatbot using large language models?
Introduction This article covers the creation of a multilingual chatbot for multilingual areas like India, using large language models. The ...
A Complete Guide to Zero Shot Image Classification
Introduction The article explores zero-shot learning, a machine learning technique that classifies unseen examples, focusing on the classification of zero-shot ...
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