Llama 3.2 models from Meta are now available in Amazon SageMaker JumpStart
10 Mins read
Today, we are excited to announce the availability of Llama 3.2 models in Amazon SageMaker JumpStart. Llama 3.2 offers multi-modal vision and…
Minish Lab Releases Model2Vec: An AI Tool for Distilling Small, Super-Fast Models from Any Sentence Transformer
4 Mins read
Minish Lab recently unveiled Model2Vec, a revolutionary tool designed to distill smaller, faster models from any Sentence Transformer. With this innovation, Minish…
A tiny new open source AI model performs as well as powerful big ones
1 Mins read
Ai2 achieved this by getting human annotators to describe the images in the model’s training data set in excruciating detail over multiple…
Subgroups: An Open-Source Python Library for Efficient and Customizable Subgroup Discovery
3 Mins read
Subgroup Discovery (SD) is a supervised machine learning method used for exploratory data analysis to identify relationships (subgroups) within a dataset relative…
Iteration of Thought: An AI Framework for Enhancing LLM Responses by Generating "thought"-Provoking Prompts
3 Mins read
Large Language Models (LLMs) have revolutionized natural language processing, enabling AI systems to perform a wide range of tasks with remarkable proficiency….
AdvDGMs: Enhancing Adversarial Robustness in Tabular Machine Learning by Incorporating Constraint Repair Layers for Realistic and Domain-Specific Attack Generation
4 Mins read
Adversarial machine learning is a growing field that focuses on testing and enhancing the resilience of machine learning (ML) systems through adversarial…
Simplifying Diffusion Models: Fine-Tuning for Faster and More Accurate Depth Estimation
3 Mins read
Monocular depth estimation (MDE) plays an important role in various applications, including image and video editing, scene reconstruction, novel view synthesis, and…
Optimizing Energy Efficiency in Machine Learning ML: A Comparative Study of PyTorch Techniques for Sustainable AI
3 Mins read
With the rapid advancement of technology, surpassing human abilities in tasks like image classification and language processing, evaluating the energy impact of…
Revolutionizing Image Classification: Training Large Convolutional Neural Networks on the ImageNet Dataset
3 Mins read
Training a Large CNN for Image Classification:Researchers developed a large CNN to classify 1.2 million high-resolution images from the ImageNet LSVRC-2010 contest,…
How Does the Tensor Brain Use Embeddings and Embodiment to Encode Senses and Decode Symbols?
3 Mins read
In the significantly advancing fields of neuroscience and Artificial Intelligence (AI), the goal of comprehending and modeling human cognition has resulted in…