Large Multimodal Models
Artificial Intelligence
See, Think, Explain: The Rise of Vision Language Models in AI
A couple of decade ago, artificial intelligence was split between image recognition and language understanding. Vision models could spot objects but couldn’t describe them, and language models generate text but couldn’t “see.” Today, that...
Artificial Intelligence
Inside OpenAI’s o3 and o4‑mini: Unlocking Recent Possibilities Through Multimodal Reasoning and Integrated Toolsets
On April 16, 2025, OpenAI released upgraded versions of its advanced reasoning models. These recent models, named o3 and o4-mini, offer improvements over their predecessors, o1 and o3-mini, respectively. The most recent models deliver...
Artificial Intelligence
Meta AI’s MILS: A Game-Changer for Zero-Shot Multimodal AI
For years, Artificial Intelligence (AI) has made impressive developments, nevertheless it has at all times had a fundamental limitation in its inability to process various kinds of data the best way humans do. Most...
Artificial Intelligence
The Rise of Open-Weight Models: How Alibaba’s Qwen2 is Redefining AI Capabilities
Artificial Intelligence (AI) has come a good distance from its early days of basic rule-based systems and easy machine learning algorithms. The world is now entering a brand new era in AI, driven by...
Artificial Intelligence
MINT-1T: Scaling Open-Source Multimodal Data by 10x
Training frontier large multimodal models (LMMs) requires large-scale datasets with interleaved sequences of images and text in free form. Although open-source LMMs have evolved rapidly, there continues to be a significant lack of multi-modal...
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