{"id":1005,"date":"2023-06-02T06:53:21","date_gmt":"2023-06-02T11:53:21","guid":{"rendered":"https:\/\/danpearson.net\/?p=1005"},"modified":"2023-06-02T06:53:33","modified_gmt":"2023-06-02T11:53:33","slug":"bloom-ai","status":"publish","type":"post","link":"https:\/\/danpearson.net\/bloom-ai\/","title":{"rendered":"Unleashing the Power of Bloom AI: An In-depth Look"},"content":{"rendered":"\n
Bloom AI, or BLOOM, is a revolutionary large language model (LLM) that stands out in the arena of artificial intelligence. Unlike its contemporaries, such as OpenAI’s GPT-3 and Google’s LaMDA, Bloom AI is designed to be as transparent as possible. Its developers have openly shared details about the data it was trained on, the challenges in its development, and how they evaluated its performance. This is in stark contrast to other LLMs, where the code and models are not publicly available, leaving external researchers in the dark about how these models are trained.<\/p>\n\n\n\n
The creation of Bloom AI was a concerted effort by over 1,000 volunteer researchers, part of a project called BigScience. Coordinated by AI startup Hugging Face and supported by funding from the French government, Bloom AI was developed over the last year. The official launch of Bloom AI was on July 12, where its makers expressed hope that this open-access LLM would instigate long-lasting changes in the culture of AI development, democratizing access to state-of-the-art AI technology for researchers worldwide.<\/p>\n\n\n\n
The biggest selling point of Bloom AI lies in its ease of access. Once live, anyone can download and experiment with Bloom AI free of charge from Hugging Face’s website. Users can choose from a selection of languages and instruct Bloom AI to perform various tasks such as writing recipes or poems, translating or summarizing texts, or even writing programming code. This flexibility makes Bloom AI a solid foundation for AI developers to build their own applications.<\/p>\n\n\n\n
In terms of size, Bloom AI surpasses even OpenAI’s GPT-3, boasting a whopping 176 billion parameters. These parameters are variables that determine how input data is transformed into the desired output. For languages such as Spanish and Arabic, Bloom AI is the first large language model of this size. BigScience, the group behind Bloom AI, claims that it offers similar levels of accuracy and toxicity as other models of the same size.<\/p>\n\n\n\n
LLMs are deep-learning algorithms trained on vast amounts of data and represent one of the most exciting areas of AI research. Powerful models like GPT-3 and LaMDA can produce text so realistic that it appears human-written. These models have enormous potential to change how we process information online, with applications ranging from chatbots to content moderation, from book summarization to the generation of entirely new text based on prompts. However, they are not without their problems, as they may start producing harmful content with only a little prodding.<\/p>\n\n\n\n
Unfortunately, most big tech companies developing cutting-edge LLMs have not been transparent about the inner workings of their models. This lack of transparency makes it hard to hold them accountable. The secrecy and exclusivity surrounding these models are precisely what the researchers working on Bloom AI hope to change.<\/p>\n\n\n\n
A significant focus for BigScience was to incorporate ethical considerations into Bloom AI from its inception, rather than treating them as an afterthought. The group developed specific data governance structures for LLMs to make it clearer what data is being used and who it belongs to. They also sourced different data sets from around the world that weren’t readily available online. These measures aim to mitigate the problems that come from training LLMs on large data sets scraped from the internet, which often include lots of personal information and may reflect harmful biases.<\/p>\n\n\n\n
To further their commitment to ethical AI, the group launched a new Responsible AI License, something akin to a terms-of-service agreement. This license is designed to deter users from applying Bloom AI in high-risk sectors such as law enforcement or health care, or to harm, deceive, exploit, or impersonate people. It’s an experimental move in self-regulating LLMs before laws catch up, although there is no absolute guarantee against misuse of Bloom AI.<\/p>\n\n\n