By | python The rise of large models like GPT-3 has brought about a new paradigm of in-context learning. In in-context learning, the model does not use gradient descent to adjust parameters based on supervised samples; instead, it connects the inputs and outputs of supervised samples as prompts, guiding the model to generate predictions based … Read more
MLNLP community is a well-known machine learning and natural language processing community in China and abroad, covering NLP graduate students, university teachers, and industry researchers. The community’s vision is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for beginners. Reprinted from | NewBeeNLP Author … Read more
Source: DeepHub IMBA This article is approximately 2600 words and suggests a 5-minute reading time. This article will attempt to provide recommendations for choosing the correct generative AI methods based on some common quantifiable metrics. Generative AI is rapidly evolving, and many people are trying to use this technology to solve their business problems. Generally, … Read more
Nowadays, using large models with provided interfaces, prompts have become indispensable. They can generate document templates based on specified formats; generate summaries with different focuses; check written documents for typos and grammatical issues; help us read long texts and extract the content we care about; and even when automatically answering customer questions, prompts can guide … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university teachers, and corporate researchers. Community Vision is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for the progress of beginners. Reprinted … Read more
This article is the 10th in a series by Teacher Wang Jue introducing AIGC. For previous articles, please refer to: #ai Teacher Wang Jue AIGC Educational Application Collection When controlling large models to complete general tasks, you only need to give instructions in natural language. For example, in Kimi, we can directly type: Help me … Read more
This article is the 10th in a series by Teacher Wang Jue introducing AIGC. For previous articles, please refer to: #ai Teacher Wang Jue’s AIGC Educational Application Collection When controlling large models to complete general tasks, you only need to give instructions in natural language. For example, in Kimi, we can directly type to request: … Read more
AI has increasingly integrated into daily life and work. Today, Jenny and Jason will share a series of the most commonly used and practical English terms when using AI. Come and learn! Collaborating with AI Most common terminologies to use or collaborate with AI: Collaborate: collaborate Terminologies: terminologies AI (Artificial Intelligence): artificial intelligence Various Commands … Read more
1. Course Introduction Two Types of Large Models Base LLMs: Predict the next word based on text training data. Instruction Tuned LLMs: Refined through RLHF on the base, forming useful, honest, and harmless AI. 2. Prompt Principles Principle 1: Write Clear and Specific Instructions clear != short Principle 2: Give the Model Time to “Think” … Read more
MLNLP community is a well-known machine learning and natural language processing community in China and abroad, covering NLP graduate students, university teachers, and researchers in enterprises. The vision of the community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for beginners. Reprinted from … Read more