The Benefits of Using Open-Source LLMs.
& BLOOM.
There are multiple short and long term benefits to choosing a fully Open Source LLMs instead of proprietary LLMs.
Probably the biggest concerns of using proprietary LLMs is the risk of data leaks or unauthorized access to sensitive data by the LLM provider.
There have already been several controversies regarding the alleged use of personal and confidential data for training purposes.
By using Open-source LLM, companies will be solely responsible for the protection of personal data, as each person will keep full control of it.
Most proprietary LLMs also require a license to use them.
In the long term, this can be an important expense but is not the case with Open-source LLMs, as they are normally free to use.
Running LLMs requires considerable resources, even only for inference, which means that you will normally have to pay for the use of cloud services or powerful infrastructure.
If you opt for fully Open-source LLMs you will have access to the workings of LLMs, including their source code, architecture, training data and mechanism for training and inference.
