Selected from arXiv Author: Graham Neubig Translation by Machine Heart Contributors: Li Zenan, Jiang Siyuan This article is a detailed tutorial on machine translation, suitable for readers with a background in computer science. According to Paper Weekly (ID: paperweekly), this paper comes from CMU LTI and covers various foundational knowledge of the Seq2Seq method, including … Read more
Previously, we introduced the Large Language Models (LLMs) technology principles and applications. LLMs are a type of Foundation model, and besides LLMs, Foundation models also include Large Vision Models and Large Multimodal Models. Currently popular text-to-image models like Stable Diffusion, DALL-E, text-to-video model Sora, image-text retrieval, and visual content generation all fall under the category … Read more
Machine Heart Report Machine Heart Editorial Team What is the progress of multi-modal large language models?Here are 26 of the current best multi-modal large language models. The focus in the field of AI is shifting from large language models (LLMs) to multi-modal capabilities. Thus, multi-modal large language models (MM-LLMs) that enable LLMs to have multi-modal … Read more
After the generational breakthrough of large language models, several search engines both domestically and internationally are trying to integrate them, and the changes brought to user experience are evident. For example, ChatGPT has already been integrated into search engines. Baidu Search also began internal testing of “AI Partner” in early May, where the AI automatically … Read more
Click the “Turing Artificial Intelligence” above, and select the “Star” public account Get the AI insights you want, delivered first-hand Copyright Statement Reprinted from Technology Generation Qian Gaoyuan, copyright belongs to the original author, used for academic sharing only AI Hallucinations Can’t Be Stopped, But These Technologies Can Mitigate Their Damage Developers have ways to … Read more
Produced by Big Data Digest After the explosive popularity of ChatGPT, the AI community has entered a “hundred model battle.” Recently, Nathan Lambert, a machine learning scientist at Huggingface, organized the current strengths of large models from an open-source perspective in a blog post, offering many profound insights. What this looks like is instead of … Read more
Recently, AutoGPT and HuggingGPT have become extremely popular. They automatically make decisions using the ChatGPT large model and call upon other models to achieve a high degree of automated decision-making, expanding the application scope of large models. However, the most critical aspect is understanding their specific implementation principles and how they operate internally, which is … Read more
New Intelligence Report Editor:LRS [New Intelligence Guide] A new paradigm combining large language models and AutoGPT has arrived! This paper presents a comprehensive benchmark study of Auto-GPT agents in real-world decision-making tasks, exploring the application of large language models (LLMs) in decision-making tasks. Paper link:https://arxiv.org/pdf/2306.02224.pdf The authors compared the performance of several popular LLMs (including … Read more
Yann LeCun announced on February 25, 2023, Beijing time, that Meta AI has publicly released LLaMA (Large Language Model Meta AI), a large language model that includes four parameter sizes: 7 billion, 13 billion, 33 billion, and 65 billion. The aim is to promote research on the miniaturization and democratization of LLMs. Guillaume Lample claimed … Read more
Data Digest authorized reprint from Xi Xiaoyao’s Cute Selling House Author: iven From GPT-3 to prompts, more and more people have discovered that large models perform very well under zero-shot learning settings. This has led to increasing expectations for the arrival of AGI. However, one thing is very puzzling: In 2019, T5 discovered through “hyperparameter … Read more