I am also confident in my preparation for solutions to detailed issues related to LLM and sLLM. I would like to discuss technical issues with truly meaningful companies.

Hello, I am DeepNetwork, a one-person enterprise specializing in the analysis of super-large AI models. Over the past 3 years, DeepNetwork has conducted detailed review and analysis of hundreds of deep learning papers related to super-large models, and has also carried out detailed analysis work on Google’s deep learning environment, TensorFlow.

While DeepNetwork does not have solutions for all issues related to super-large models, we do have solutions for some issues. We are confident in our detailed analysis of the GPT-3 model, which clearly demonstrated the potential of super-large models. Recently, the development issue of LLM is moving to sLLM, and DeepNetwork is also conducting technical issue research on sLLM’s detailed issues, securing meaningful analysis results.

You might think that I only analyzed papers, but I have also successfully gained a deep understanding of the know-how of deep learning development, specifically implementing the design of Google’s transformer model in the TensorFlow environment using TensorFlow API. I am also well-prepared with a deep understanding of how to apply the arguments of the necessary TensorFlow API when developing Google’s transformer model design in the TensorFlow environment.

I have also secured very specific implementation know-how for Quantization techniques and knowledge distillation implementation, which are key to the lightweighting of super-large models. I have know-how on how to design and implement Quantization techniques and knowledge distillation in foreign papers, and how to apply the API in the TensorFlow environment to design it.

DeepNetwork, which I operate, has been preparing for over 3 years to successfully identify the detailed issues of LLM and sLLM related to the implementation of super-large models or sLLM, which are of importance to domestic and foreign global companies. I can say that DeepNetwork is also prepared to the extent that it can write here with certainty about the analysis of detailed issues related to LLM and sLLM and the ability to implement them using TensorFlow API.

I also have a solid preparation for the solution to my detailed issues related to LLM and sLLM, so I would like to discuss technical issues with truly meaningful companies.

 

Deep Network, a one-person startup specializing in consulting for super-large language models  

E-mail : sayhi7@daum.net    

Representative of a one-person startup /  SeokWeon Jang