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
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
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
Is the prompt generated by AI better than those handwritten by humans? In today’s world, where various AIGC products are emerging, getting AI to create an image is no longer a challenge. Despite the advantages of “no need to draw” and “zero threshold for creation”, many people still struggle to achieve their ideal artwork with … Read more
Photography: Product Manager Delicious Meat on the Table Many students who follow my public account know how to write web crawlers. But to write a good web crawler, you must master some reverse engineering techniques to analyze web pages’ JavaScript and Android apps, thus breaking signatures or bypassing anti-crawling restrictions. In the past six months, … Read more
Language models represented by ChatGPT have been popular for some time. People have shifted from “how to use” to “how to make it more useful”. In June, OpenAI’s ChatGPT saw a global traffic decline of 10%, marking the first drop in traffic since its launch, indicating that many people may not have integrated it into … Read more