A fascinating cultural divergence can be observed in the art of crafting prompts for large language models (LLMs), particularly between China’s tech giants, Baidu and Alibaba. While both companies are at the forefront of AI development, their internal prompt engineering styles are remarkably different, reflecting their unique corporate cultures and technical approaches.
Transformer is a model architecture for natural language processing (NLP) tasks. It is a type of neural network that is designed to process sequential data, such as text. Transformer models are particularly well-suited for NLP tasks because they can handle long-range dependencies and process input sequences in parallel.
NLP is a subfield of artificial intelligence that focuses on the interaction between computers and human language. It is a branch of artificial intelligence that deals with the processing, understanding, and generation of natural language text written by humans.
The emergence of ChatGPT changed people’s perception of AI and brought about a transformative phase in the field of NLP. LLMs, represented by GPT, have become the mainstream research focus in NLP and even the broader field of AI.
If you look at ‘usefulness’ from a conventional viewpoint, certain knowledge might appear useless for the time being, maybe pursued simply out of curiosity. Yet, later in life, you may discover that very knowledge becomes useful, perhaps even vitally important.
This guide provides a practical introduction to the Hugging Face ecosystem. You’ll learn how to find and use models via the API, work with key components like Transformers and Tokenizers, and grasp the fundamentals of fine-tuning. Finally, we cover designing, training, and evaluating custom models for downstream tasks.
When a BAU project faces challenges such as large business volumes, wide industry coverage, diverse scenarios, complex customer structures, and constantly changing requirements, a project often needs to be restructured to address these issues. This article attempts to tackle the high business complexity, ever-changing requirements, and high maintenance costs encountered in system design and construction through the application of DDD.
Extension available on chrome web store: https://chromewebstore.google.com
Update the GitHub project https://github.com/Jerrysmd/weibo-content-filter. Add popup page and allow for custom configurations
