By NewsBlogger Meta has unveiled Llama 3, an advanced open-source language model designed for reasoning, code generation, and following instructions. It surpasses competitors in the market and offers enhanced scalability and performance for various applications.
At a glance
- Llama 3 is an open-source language model designed for reasoning, code generation, and following instructions.
- Llama 3 has surpassed competitors like Google and Anthropic, positioning itself as the market’s most advanced large language model.
- Llama 3 plays a crucial role in the AI field, powering various applications and serving as the foundation for other models like Vicuna and Alpaca.
- The latest Llama 3 models have enhanced reasoning capabilities for tasks like translation and dialogue generation and improved scalability and performance.
- Llama 3 is available in two sizes—an eight billion parameter version and a 70 billion parameter version—and can be downloaded on Meta’s website and cloud services like AWS.
The details
Meta has recently unveiled Llama 3, an open-source language model designed to excel in reasoning, code generation, and following instructions.
Positioned as the most advanced large language model in the market, Llama 3 has surpassed competitors like Google and Anthropic.
The Llama series of models plays a crucial role in the AI field, powering a wide range of applications and serving as the foundation for other models such as Vicuna and Alpaca.
The latest Llama 3 models boast enhanced reasoning capabilities, enabling them to tackle complex tasks like translation and dialogue generation easily.
Meta has significantly improved the scalability and performance of Llama 3, allowing it to handle multi-step tasks effectively.
Compared to previous versions, Llama 3 exhibits a lower prompt refusal rate thanks to a refined post-training process.
Llama 3 is available in two sizes: an eight-billion parameter version and a 70-billion parameter version, both of which offer an 8k context length.
Businesses can start utilizing Llama 3 immediately, as it is accessible for download on Meta’s website and cloud services such as AWS. Various hardware providers support the models, including AMD, AWS, Dell, Intel, Nvidia, and Qualcomm.
Meta’s latest chatbot solution, Meta AI, leverages the cutting-edge Llama 3 models and is currently accessible in English in multiple countries.
Future plans for Meta include launching larger versions of Llama 3, including a 400 billion parameter model.
The models have demonstrated impressive performance on industry benchmarks like MMLU and HumanEval.
Llama 3 employs a decoder-only transformer architecture and a tokenizer that efficiently encodes language.
Meta has introduced new tools like Llama Guard 2, CyberSec Eval 2, and Code Shield to facilitate the responsible deployment of the models.
The dataset used to train Llama 3 is seven times larger than the one utilized for Llama 2, comprising over 15 trillion tokens sourced from publicly available data.
Additionally, the dataset includes synthetic data generated by the prior Llama 2 model.
During training, Llama 3 was employed on custom-built data center-scale GPU clusters featuring 24,576 Nvidia H100 GPUs.
While Meta has not disclosed the specifics of the training data, the company remains dedicated to open-source development and upholds a community-first approach with Llama 3.
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| aibusiness.com |
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| – Meta has released Llama 3, an open-source language model that excels in reasoning, code generation, and instruction following. – Llama 3 is being promoted as the most capable large language model available, surpassing competitors like Google and Anthropic. – The Llama series of models is crucial in the AI field, powering various applications and serving as the foundation for other models like Vicuna and Alpaca. – The new Llama 3 models have improved reasoning capabilities and can handle complex tasks such as translation and dialogue generation. – Meta has enhanced the scalability and performance of Llama 3, allowing it to handle multi-step tasks effectively. – Llama 3 has a lower prompt refusal rate compared to previous versions due to a refined post-training process. – Llama 3 comes in two sizes – eight billion parameters and a 70 billion parameter version, both with an 8k context length. – Businesses can start using Llama 3 today, as it is available for download on Meta’s website and cloud services like AWS. – The models are supported by various hardware providers including AMD, AWS, Dell, Intel, Nvidia, and Qualcomm. – Meta’s new chatbot solution, Meta AI, is powered by the latest Llama 3 models and is currently available in English in several countries. – Meta plans to launch larger versions of Llama 3 in the future, including a 400 billion parameter model. – The models have shown impressive performance on industry benchmarks like MMLU and HumanEval. – Llama 3 uses a decoder-only transformer architecture and a tokenizer that encodes language more efficiently. – Meta introduced new tools like Llama Guard 2, CyberSec Eval 2, and Code Shield to support responsible deployment of the models. – The dataset used to train Llama 3 is seven times larger than the one used for Llama 2 and includes over 15 trillion tokens from publicly available sources. – The dataset also contains synthetic data generated by the prior Llama 2 model. – Llama 3 was trained on custom-built data center-scale GPU clusters containing 24,576 Nvidia H100 GPUs. – Despite not disclosing the training data, Meta is committed to open-source development and believes in a community-first approach with Llama 3. |
