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Popular Large Language Models (LLMs)

1. GPT-4o (OpenAI)

  • Developer: OpenAI
  • Launch Year: 2024
  • Key Features:
    • Multimodal: Can process and generate text, images, and audio in real-time.
    • High speed: Optimized for low-latency interaction, ideal for chatbots and live applications.
    • Context handling: Supports very large context windows (up to ~128k tokens in some settings).
    • Balanced: Strong in reasoning, creativity, and factual accuracy.
  • Use Cases: Chatbots, content generation, code assistance, research, and multimodal applications.

2. LLaMA 3 (Meta)

  • Developer: Meta (Facebook AI Research)
  • Launch Year: Expected 2024
  • Key Features:
    • Open-weight model: Available for research and commercial use.
    • Efficient: Optimized for deployment on smaller hardware while still offering strong capabilities.
    • Fine-tuning friendly: Easy to adapt to domain-specific needs.
    • Scalable: Multiple sizes (e.g., 7B, 13B, 70B parameters).
  • Use Cases: Research, academic work, AI applications where open-source customization is needed.

3. Claude 3.5 (Anthropic)

  • Developer: Anthropic
  • Launch Year: 2024
  • Key Features:
    • Safety-first design: Strong focus on AI alignment, minimizing harmful outputs.
    • Very long context: Can handle hundreds of thousands of tokens for deep document analysis.
    • Conversational depth: Known for nuanced, empathetic conversation style.
    • High reliability: Strong performance in reasoning-heavy tasks.
  • Use Cases: Enterprise AI assistants, legal research, customer service, long-form content analysis.

4. Gemini (Google DeepMind)

  • Developer: Google DeepMind
  • Launch Year: 2023 (Gemini 1), 2024 (Gemini 1.5)
  • Key Features:
    • Deep integration: Works seamlessly with Google Search, Workspace, and other tools.
    • Multimodal: Can handle text, images, code, and more.
    • Advanced reasoning: Built with insights from AlphaGo’s planning and problem-solving methods.
    • Scalable: Available in multiple versions for different workloads.
  • Use Cases: Research, productivity tools, coding assistance, data analysis.

Comparison Table

FeatureGPT-4oLLaMA 3Claude 3.5Gemini 1.5
DeveloperOpenAIMetaAnthropicGoogle DeepMind
Release Year20242024*20242023-24
Multimodal
Context Length~128k~8k–32k~200k+~1M (in some tests)
Open Source
Focus AreaGeneral AICustomizationSafety & EthicsIntegration & Reasoning