Adversarial Training

Where Has BERT Gone? Insights on the Shift in LLM Paradigms

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Where Has BERT Gone? Insights on the Shift in LLM Paradigms

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 researchers from 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 the … Read more

The Disappeared Traces: Generative AI Images and the Reconstruction of Knowledge Framework in Image Hermeneutics

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The Disappeared Traces: Generative AI Images and the Reconstruction of Knowledge Framework in Image Hermeneutics

As a major school of iconology, the Warburg School examines images within the context of art history, thus forming the basic knowledge framework of image hermeneutics. In traditional iconology, the primary objects of image interpretation are artistic images, while subsequent image hermeneutics strives to “catch up” with various emerging forms of images. However, this is … Read more

Exploring the Mysteries of Prompt Engineering

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Exploring the Mysteries of Prompt Engineering

1. Exploring Prompt Engineering Prompt Engineering 1. Introduction to General AI and Narrow AI Artificial Intelligence (AI) can be divided into General AI (AGI) and Narrow AI. AGI is an intelligence that can understand, learn, and perform any task that a human can accomplish. In contrast, Narrow AI is specifically designed to perform particular tasks … Read more

PromptCLUE: Large-Scale Multi-Task Prompt Pre-Trained Chinese Open Source Model

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PromptCLUE: Large-Scale Multi-Task Prompt Pre-Trained Chinese Open Source Model

MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP master’s and PhD students, university teachers, and corporate researchers. The vision of the community is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning at home and abroad, … Read more

An Overview of Prompt Learning Techniques

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An Overview of Prompt Learning Techniques

MLNLP Community is a well-known machine learning and natural language processing community at home and abroad, 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 at home and abroad, especially for the … Read more

Principles of Prompt Engineering

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Principles of Prompt Engineering

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

AI Replaces Humans: Automatic Prompt Generation

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AI Replaces Humans: Automatic Prompt Generation

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

Two Mini-Games: Experience Controlling Large Models with Prompts

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Two Mini-Games: Experience Controlling Large Models with Prompts

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

AI Magic: Making Large Models Obey as Effective Teaching Assistants

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AI Magic: Making Large Models Obey as Effective Teaching Assistants

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

Notes on Andrew Ng’s Prompt Course

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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