Meta Llama-3 LLM Model

A Meta Llama-3 LLM Model is a open-source Llama model family that is the successor to Llama-2.

• Context:
  • It aims to be more responsive and capable of handling a broader range of complex queries, addressing limitations observed in earlier versions.
  • It can lead benchmarks for its scale, showing strong math and reasoning skills.
  • It can enhance tool use and coding comprehension, improve generalization and conversation abilities, and offer fine-tuning for application-specific enhancements.
  • ...
• Example(s):
  • Llama-3 8B that showcases neaar-parity in power with the largest Llama-2 model despite having fewer parameters.
  • Llama-3 70B that leads performance benchmarks, demonstrating the capabilities of medium-sized models.
  • Llama-3 405B that is still under training as of its initial release and is expected to set new records in the AI field.
  • Llama 3.1 LLM Models, such as:
    • Llama 3.1 405B: The flagship model with 405 billion parameters, designed for high-end applications.
    • Llama 3.1 70B Instruct: A 70 billion parameter model tuned for following instructions precisely.
    • Llama 3.1 8B: A smaller, more resource-efficient model with 8 billion parameters, suitable for less intensive tasks.
    • Llama 3.1 8B Instruct: An instruction-tuned version of the 8B model, optimized for tasks requiring clear and concise responses.
  • ...
• Counter-Example(s):
  • Llama-1 and Llama-2.
  • IBM Granite 3.0.
  • OpenAI GPT-4.
  • Anthropic Claude 3.
  • Google Gemini 1.5.
• See: InstructGPT, Transformer Neural Networks.

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References

• https://llama.meta.com/llama3/

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