1 The Evolution of Generative Artificial Intelligence Since the launch of ChatGPT in November 2022, generative artificial intelligence (Gen AI) has made significant progress over the past few months and years. New tools, rules, or iterative technological advancements are being introduced every month. While many people feel apprehensive about ChatGPT (and the broader realm of … Read more
Author: Dale Markowitz Translation: Wang Kehan Proofreading: He Zhonghua This article is approximately 3800 words long and is recommended to be read in 5 minutes This article introduces the currently most popular language model in natural language processing—the Transformer model. Tags: Natural Language Processing Do you know this saying: When you have a hammer, everything … Read more
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
Large Language Models Ollama is a tool designed specifically for running and customizing large language models in local environments. It provides a simple and efficient interface for creating, running, and managing these models, along with a rich library of pre-built models that can be easily integrated into various applications.The goal of Ollama is to make … Read more
MLNLP community is a renowned machine learning and natural language processing community in China and abroad, covering NLP master’s and doctoral students, university professors, and corporate researchers. The vision of the community is to promote communication and progress among the academic and industrial circles of natural language processing and machine learning, especially for beginners. Reprinted … Read more
Can AI completely edit images according to client requirements? With the help of GPT-3 and Stable Diffusion, models can instantly become proficient in Photoshop, allowing for seamless image modifications. After the rise of diffusion models, many people have focused on how to effectively use prompts to generate the desired images. Through continuous experimentation with various … Read more
Christopher Manning Currently a professor at Stanford University and head of the Stanford Natural Language Processing Group, Christopher Manning is a renowned scholar in the field of natural language processing. He is a fellow of prestigious international academic organizations such as the ACM, AAAI, and ACL, and has won best paper awards at top international … Read more
Source: DeepHub IMBA This article is about 3000 words long and is recommended to read in 6 minutes. With the latest advancements in NLP (Natural Language Processing), OpenAI's GPT-3 has become one of the most powerful language models on the market. On January 25, 2022, OpenAI announced an embedding endpoint (Neelakantan et al., 2022). This … Read more
As 2021 is about to end, looking back at the recent autumn recruitment for algorithm positions, it can be described as going from ashes to hell on earth. The trend has shifted: those considering a career change are starting to change careers, and those switching majors are starting to switch majors. Many people want to … Read more
Source: OneFlow This article has a total of 7200 words and is recommended to be read in over 10 minutes. This article provides guidance for selecting suitable open-source or closed-source language models to achieve better cost-effectiveness under different task requirements. By comparing the costs and latencies of LLaMA-2 and GPT-3.5 through testing, the author calculated … Read more