Generative AI with Meta

Meta Unleashing Limitless Potential through Smart Content Generation

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Meta’s Llama 2

Code Llama: A Large Language Model for Coding, Text-to-Code (T2C)

Code Llama is a state-of-the-art Large Language Model (LLM) introduced by Meta AI on August 24, 2023. This model is designed to generate code and natural language about code from both code and natural language prompts. The main features and details of Code Llama include:

The rapid evolution in the generative AI space, exemplified by models like Code Llama, is poised to significantly influence the future of coding and software development in several ways:

In conclusion, while generative AI models like Code Llama offer transformative potential for the software development landscape, their integration should be thoughtful, ensuring that they augment human capabilities rather than replace them, and that ethical considerations are at the forefront of their deployment.

Ensuring the responsible use of advanced AI models is crucial to prevent unintended consequences and potential risks. Here are some measures that should be in place:

In essence, as AI models become more advanced, a multi-faceted approach that combines technical, ethical, regulatory, and educational measures is essential to ensure their responsible and safe use.

Meta AI’s belief in an open approach for AI development can have profound implications for the broader AI community and the development of future AI tools. Here’s how this openness can impact the landscape:

In conclusion, Meta AI’s commitment to an open approach in AI development can catalyze a more collaborative, transparent, and inclusive AI ecosystem, driving innovation and ensuring that the benefits of AI are widely accessible and ethically grounded.

For more in-depth details, you can refer to the Code Llama research paper or download the Code Llama model.

Meta LLaMA-2 Getting started

Text Generation

To get started on Text Generation using Meta LLaMA-2, you can check out how to do this here.

More comprehensive demos are available on

Further References

If you are interested in Citizen Development, refer to this book outline here on Empower Innovation: A Guide to Citizen Development in Microsoft 365

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If you wish to delve into GenAI, read Enter the world of Generative AI

Also, you can look at this blog post series from various sources.

  • Hackernoon
  • Hashnode
  • Medium
  • Stay tuned! on Generative AI Blog Series

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