Phi-3-Vision's Triumphant Performance on Key Multimodal Benchmarks
8 Jul 2025
Witness Phi-3-Vision's impressive evaluation results across nine open-source academic benchmarks, challenging top multimodal LLMs like MM1, Llava, and Claude 3.
Unveiling phi-3-vision: Architecture, Pre-training, and Post-training for Visual AI
8 Jul 2025
Explore the technical specifications of phi-3-vision, detailing its CLIP + phi-3-mini-128K architecture, and diverse multimodal pre-training dataset
Navigating LLM Frontiers: phi-3's Weaknesses and Augmentation Pathways
8 Jul 2025
Explore the inherent challenges in even high-performing small LLMs like phi-3-mini, such as factual limitations and language restrictions
Fortifying LLM Safety: phi-3's Responsible AI Alignment
8 Jul 2025
Discover how phi-3 models embody Microsoft’s responsible AI principles, featuring multi-stage safety alignment, rigorous red-teaming, and extensive evaluations
phi-3-mini's Triumph: Redefining Performance on Academic LLM Benchmarks
4 Jul 2025
Witness phi-3-mini's impressive results on standard academic benchmarks for reasoning and logic, challenging models like Mistral 8x7B, Gemma 7B, and GPT-3.5
Unpacking phi-3-mini: Architecture Driving Phone-Deployable LLM Power
4 Jul 2025
Dive into phi-3-mini's technical core: a 3.8B Transformer decoder with 4K context (128K LongRope option), and a Llama-2-like block structure
phi-3-mini: The 3.8B Powerhouse Reshaping LLM Performance on Your Phone
4 Jul 2025
Witness a breakthrough! phi-3-mini, a 3.8B parameter LLM, trained on 3.3T tokens, unleashes performance rivaling Mixtral 8x7B and GPT-3.5
Researchers Push Vision-Language Models to Grapple with Metaphors, Idioms, and Sarcasm
18 Jun 2025
A new paper looks at how well large AI models handle figurative language.
AI Still Can’t Explain a Joke—or a Metaphor—Like a Human Can
18 Jun 2025
A new paper looks at how well large AI models handle figurative language.