The open-sourcing of the code for a large model language by Facebook has allowed for anyone to better understand and use similar tools. The development of fine tuning offers the possibility for individuals to optimise their own GPT-3 models. However, concerns have been raised about the potential for increased spam and scammers who are able to personalise their messages. Llama CPP allows for the use of these tools to be available for personal use.
Sure, here are the key facts extracted from the provided text:
1. Running models like GPT is complex and expensive in terms of energy and resources.
2. The GPUs used by OpenAI for large models cost thousands of euros, with some costing a few million euros.
3. To run such models effectively, server clusters are required.
4. Services for running these models were initially expected to remain the domain of a few companies.
5. OpenAI's decision to publish their code for large language models like Liama as open source was a significant development.
6. Liama is an equivalent of OpenAI's models and allows better understanding of how these tools work.
7. Liama models have shown impressive performance with 7 billion parameters.
8. A reimplementation of Facebook's code in C++ called Liama CPP allows anyone to run Liama models.
9. Liama CPP is supported on Apple silicon, making it accessible without expensive hardware.
10. This development opens the door to fine-tuning models for specific tasks, reducing dependency on external services.
11. The availability of such models raises concerns about potential misuse, such as spam and scams.
12. While there are legitimate concerns, this technology also has the potential for positive applications.
13. Users can easily download Liama CPP and models for personal use.
Please note that these facts have been extracted from the text, and they do not include opinions or subjective information.