ai:ai_models

Artificial Intelligence

AI Models

What is an AI Model?

An AI model is a smart computer program that learns from data to perform tasks.

AI Model Landscape Analysis

quadrantChart title AI Models Landscape 2024 x-axis Low Adoption --> High Adoption y-axis Low Maturity --> High Maturity quadrant-1 Leaders quadrant-2 Challengers quadrant-3 Niche Players quadrant-4 Visionaries GPT-4o: [0.95, 0.95] Claude 3: [0.85, 0.9] PaLM 2: [0.7, 0.85] Llama 3.1: [0.65, 0.8] Gemini 1.5 Pro: [0.55, 0.75] Grok-2: [0.6, 0.65] DBRX: [0.5, 0.6] Mixtral: [0.4, 0.5] o1: [0.3, 0.6] StableLM: [0.25, 0.4] BLOOM: [0.2, 0.35] Mistral 7B: [0.35, 0.25] Falcon 40B: [0.15, 0.2]

Explanation:

  • GPT-4o: Continues to lead in both adoption and maturity, widely integrated across industries.
  • Claude 3: Maintains high adoption and maturity, with significant enterprise usage.
  • PaLM 2: Demonstrates strong adoption and maturity, especially in multilingual and reasoning tasks.
  • Llama 3.1: Shows growing adoption and maturity, particularly in research communities.
  • Gemini 1.5 Pro: Emerging as a visionary model with increasing adoption.
  • Grok-2: Gaining traction with moderate adoption and maturity.
  • DBRX: Steady adoption with room for growth in maturity.
  • Mixtral: Niche player with specialized applications.
  • o1: Early stages of adoption and maturity.
  • StableLM: Limited adoption and maturity, primarily in open-source projects.
  • BLOOM: Niche adoption with ongoing development.
  • Mistral 7B: New entrant with potential, currently low adoption.
  • Falcon 40B: Early stages with limited adoption and maturity.

External links:

    • An AI model is a program that applies one or more algorithms to data to recognize patterns, make predictions or make decisions without human intervention.

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  • ai/ai_models.txt
  • Last modified: 2024/11/21 16:47
  • by Henrik Yllemo