Phi-3 Small Language Model Explained | Microsoft | Phi-3 Technical Report

Kalyan KS · Advanced ·📄 Research Papers Explained ·2y ago
Phi-3 small language model explained. Phi-3 is the latest small language model in Phi family language models introduced by Microsoft AI in the paper titled “Phi-3 Technical Report, A highly capable language model, locally on your Phone, by Microsoft researchers”. Phi-3 is available in three sizes namely, Phi-3-mini, Phi-3-small, and Phi-3-medium. The release of Phi-3 language models is highly exciting, for two reasons. The first one is, Phi-3 outperforms both proprietary, and open-sources LLMs. The second one is, Phi-3 with just a few billion parameters, can be quantized, and used in resource constrained devices. Phi-3 research paper – https://arxiv.org/abs/2404.14219 Phi-3-mini models - https://huggingface.co/collections/microsoft/phi-3-6626e15e9585a200d2d761e3 📙 LLM Prompt Engineering Simplified Book (by Kalyan KS) ============================================================== Book link - https://llmnanban.akmmusai.pro/Book/LLM-Prompt-Engineering-Simplified-Book/ 📥 Do you want to get the latest updates related to Generative AI, LLMs, and Prompt Engineering? You can follow me on Twitter and LinkedIn. I do share a lot of useful information. 👋 Keep in touch? ============================================================== 🐥 Twitter - https://twitter.com/kalyan_kpl 🔗 LinkedIn - https://www.linkedin.com/in/kalyanksnlp/ 🌎 Website - https://www.akmmusai.pro/kalyanksnlp
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

The ABCs of reading medical research and review papers these days
Learn to critically evaluate medical research papers by accepting nothing at face value, believing no one blindly, and checking everything
Medium · LLM
#1 DevLog Meta-research: I Got Tired of Tab Chaos While Reading Research Papers.
Learn to manage research paper tabs efficiently and apply meta-research techniques to improve productivity
Dev.to AI
How to Set Up a Karpathy-Style Wiki for Your Research Field
Learn to set up a Karpathy-style wiki for your research field to organize and share knowledge effectively
Medium · AI
The Non-Optimality of Scientific Knowledge: Path Dependence, Lock-In, and The Local Minimum Trap
Scientific knowledge may be stuck in a local minimum, hindering optimal progress, and understanding this concept is crucial for advancing research
ArXiv cs.AI
Up next
Generating novel scientific hypotheses with Co-Scientist
Google DeepMind
Watch →