The video discusses advancements in AI technology, including tools for small businesses, open source code for chatbot training, and improved accessibility and cost-effectiveness of GPT-3, but also raises concerns about potential misuse.
Running models like GPT is complex and costly in terms of energy and resources, requiring expensive GPUs and server clusters, making it difficult for smaller companies to compete.
Facebook's research department has developed tools that can run locally on your phone, making it possible to build a business without being dependent on third parties and paying significant fees.
Yann Lecun releases open source code for Liama model to advance chatbot training research.
Yann Lecun announced the release of their open source code for the LLM model, called Liama, to allow the scientific community to better understand and advance research in chatbot training.
Yama made a model with 7 billion parameters, but the computing power used for training is not included in the open source code.
A forum post provided a torrent link to download the weights of Facebook's model, but it required the right equipment to run until a guy released liama CPP, allowing anyone to run liama models on their CPU.
A small terminal window allows for communication with a virtual assistant that filters out irrelevant results, with the speaker using the smallest model for performance and the ability to improve with larger models.
The diffusion of private and proprietary solutions in image generation led to stable diffusion and the possibility for hackers and researchers to appropriate and improve the project, resulting in derivative models that exceed private boxes and allow for better control and iteration.
The use of GPT-3 language model can lead to an increase in spam and scams, but it was inevitable and easily accessible for personal use through downloading liama.cpp and finding models on Twitter.