View source for Meta Llama-3 LLM Model

A [[Meta Llama-3 LLM Model]] is a [[open-source LLM|open-source]] [[Llama model]] that is the successor to [[Llama-2]].
* <B>Context:</B>
** 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.
** ...
* <B>Example(s):</B>
** [[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 Model]]s, 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.
** ...
* <B>Counter-Example(s):</B>
** [[Llama-1]] and [[Llama-2]].
** [[GPT-4]], [[Anthropic Claude 3]], [[Google Gemini 1.5]].
** [[IBM Granite 3.0]].
* <B>See:</B> [[InstructGPT]], [[Transformer Neural Networks]].
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== References ==
* https://llama.meta.com/llama3/

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[[Category:Concept]]