Ecologists find blind spots in computer vision models when retrieving wildlife images | MIT News
Try taking a photo of each of the places in North America. barely 11,000 tree species and you will have ...
Tag: models
PaliGemma 2: Redefining Vision-Language Models
Imagine the power of seamlessly combining visual perception and language understanding into a single model. This is precisely what PaliGemma ...
Google DeepMind Introduces 'SALT': A Machine Learning Approach to Efficiently Training Large, High-Performance Language Models Using SLM
Large language models (LLMs) are the backbone of numerous applications, such as conversational agents, automated content creation, and natural language ...
Microsoft AI Introduces SCBench: A Comprehensive Benchmark for Evaluating Long Context Methods on Large Language Models
Long-context LLMs enable advanced applications such as repository-level code analysis, long document question answering, and multi-shot in-context learning by supporting ...
Sakana AI Researchers Present NAMM: Optimized Memory Management for High-Performance, Efficient Transformer Models
Transformers have become the backbone of deep learning models for tasks that require sequential data processing, such as natural language ...
The TII-UAE Technology Innovation Institute has just launched Falcon 3: a family of open source AI models with 30 new model checkpoints from 1B to 10B
Advances in large language models (LLM) have created opportunities across industries, from automating content creation to improving scientific research. However, ...
Meta AI launches Apollo: a new family of large multimodal video-LMM models for video understanding
While multimodal models (LMMs) have advanced significantly for text and image tasks, video-based models remain underdeveloped. Videos are intrinsically complex ...
Microsoft AI Research Introduces OLA-VLM: A Vision-Centric Approach to Optimizing Large Multimodal Language Models
Multimodal large language models (MLLM) are advancing rapidly, allowing machines to interpret and reason about textual and visual data simultaneously. ...
DeepSeek-VL2 Series Open Source DeepSeek-AI: Three Parameter Models 3B, 16B and 27B with Mixture of Experts (MoE) Architecture Redefining Vision Language AI
The integration of vision and language capabilities in ai has led to advances in vision-language models (VLM). These models aim ...
Beyond the Mask: A Comprehensive Study of Discrete Diffusion Models
Masked diffusion has emerged as a promising alternative to autoregressive models for generative modeling of discrete data. Despite its potential, ...
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