The Prompt
#028: Nazneen Rajani – Building GPT from scratch, Hugging Face, AGI, open source AI
Jun 7, 2023
Nazneen Rajani, Research Lead at HuggingFace, talks about open sourcing AI, building an open source chatbot model, the importance of data quality in AI models, the concept of pre-trained transformers and GPT, tokenization process and sub words, evolution and applications of GPTs, decision making and getting into AI, and strategies for achieving work-life balance.
01:12:53
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Quick takeaways
- Open sourcing AI models raises concerns about the generation of harmful content and the potential misuse of powerful language models.
- Huggingface aims to democratize AI by providing tools and resources for machine learning, focusing on building the open source version of Chat GPT.
Deep dives
Potential Risks of Open Source AI Models
There is a responsibility to evaluate the impact and potential risks of open sourcing powerful AI models. These models have the potential to persuade people to harm themselves or others. There are concerns about the generation of harmful and deceptive content, as well as the physical consequences of AI models interacting with the web. The accessibility and versatility of these models, which can act as interfaces to various applications, raise the possibility of misuse and the creation of harmful products.
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