Organizations are deploying ML models in real-world scenarios where they encounter dynamic data and changing environments. Continuous learning (CL) refers […]
Continuous Learning for Models in Production: Need, Process, Tools, and Frameworks Read More »
The exponential growth of data in diverse formats—text, images, video, audio, and more—has necessitated the development of AI models capable
Multi-modal Transformers: Bridging the Gap Between Vision, Language, and Beyond Read More »
As machine learning models grow in complexity and size, deploying them on resource-constrained devices like mobile phones, embedded systems, and
ML Model Quantization: Smaller, Faster, Better Read More »
NVIDIA Cosmos is a platform that empowers developers to construct customized world models for physical AI systems at scale. It
NVIDIA Cosmos: A Platform for Building World Foundation Models Read More »
World foundation models (WFMs) bridge the gap between the digital and physical realms. These powerful neural networks can simulate real-world
World Foundation Models: A New Era of Physical AI Read More »
The sheer size and computational demands of large ML models, like LLMs, pose significant challenges in terms of deployment, accessibility,
Knowledge Distillation: Principles And Algorithms Read More »
Tabular data, the backbone of countless scientific fields and industries, has long been dominated by gradient-boosted decision trees. However, TabPFN
TabPFN: A Foundation Model for Tabular Data Read More »
Developed by researchers at Google Research, T5 (Text-to-Text Transfer Transformer) [paper] employs a unified text-to-text framework to facilitate various NLP
T5: Exploring Google’s Text-to-Text Transformer Read More »
Microsoft has released Phi-4, designed to excel in mathematical reasoning and complex problem-solving. Phi-4, with only 14 billion parameters, demonstrates
Phi-4: A Powerful Small Language Model Specialised in Complex Reasoning Read More »
BERT (Bidirectional Encoder Representations from Transformers), introduced by Google in 2018, allows for powerful contextual understanding of text, significantly impacting
BERT Explained: A Simple Guide Read More »
SmolAgents is an open-source Python library developed by Hugging Face for building and running powerful AI agents with minimal code.
SmolAgents: A Simple Yet Powerful AI Agent Framework Read More »
AI agents represent a significant advancement in AI, signifying a shift from AI systems that merely assist humans to AI
AI Agents: A Comprehensive Overview Read More »
