CMU’s Authoritative Comparison of Gemini, GPT-3, and Mistral 8*7B

CMU's Authoritative Comparison of Gemini, GPT-3, and Mistral 8*7B

New Intelligence Report Editor: Shan Ling Alan [New Intelligence Overview] After Google released Gemini, it has claimed that Gemini Pro is superior to GPT-3.5. However, CMU researchers conducted their own tests to provide an objective and neutral third-party comparison. The results show that GPT-3.5 still generally outperforms Gemini Pro, although the gap is not large. … Read more

Master Stable Diffusion: Understanding LoRA, Dreambooth, and Hypernetworks

Master Stable Diffusion: Understanding LoRA, Dreambooth, and Hypernetworks

” Click the above “GameLook” ↑↑↑, Subscribe to WeChat “ As the capabilities of generative AI technology improve, more and more peers are focusing on enhancing research and development efficiency through AI models. There are many popular AI models in the industry, such as the drawing tool Midjourney, the versatile Stable Diffusion, and OpenAI’s recently … Read more

Knowledge Distillation in Neural Networks – Hinton 2015

Knowledge Distillation in Neural Networks - Hinton 2015

-Distilling the Knowledge in a Neural Network Geoffrey Hinton∗†Google Inc. Mountain View [email protected] Oriol Vinyals† Google Inc. Mountain View [email protected] Jeff Dean Google Inc. [email protected] Abstract A simple way to improve the performance of almost any machine learning algorithm is to train many different models on the same data and then average their predictions.[3] Unfortunately, … Read more

Introduction to RNN and ODE: Understanding RNNs

Introduction to RNN and ODE: Understanding RNNs

Author: Su Jianlin Affiliation: Guangzhou Flame Information Technology Co., Ltd. Research Direction: NLP, Neural Networks Personal Homepage: kexue.fm I had originally decided to stop working with RNNs as they actually correspond to numerical methods for ODEs (Ordinary Differential Equations). This realization provided me with insights into something I have always wanted to do—using deep learning … Read more

HuggingGPT: Managing AI Models with ChatGPT

HuggingGPT: Managing AI Models with ChatGPT

ChatGPT has become the manager of hundreds of models. In recent months, the surge in popularity of ChatGPT and GPT-4 has showcased the extraordinary capabilities of large language models (LLMs) in language understanding, generation, interaction, and reasoning. This has drawn significant attention from both academia and industry, revealing the potential of LLMs in constructing general … Read more

HuggingGPT: A New AI Task Solution

HuggingGPT: A New AI Task Solution

Solving complex artificial intelligence tasks is a key step towards achieving Artificial General Intelligence (AGI). Despite the abundance of AI models targeting different domains and modalities, they struggle to handle complex AI tasks. Given the remarkable capabilities of large language models (LLMs) in language understanding, generation, interaction, and reasoning, the authors advocate that LLMs can … Read more

HuggingGPT: A ChatGPT Controller for All AI Models

HuggingGPT: A ChatGPT Controller for All AI Models

The Ultimate Combination: HuggingFace + ChatGPT — HuggingGPT is here! Source | Quantum Bit Just give it an AI task, such as “What animals are in the picture below, and how many of each are there?” It can automatically analyze which AI models are needed, and then directly call the corresponding models from HuggingFace to … Read more

Recommended Versatile StableDiffusion Models

Recommended Versatile StableDiffusion Models

Today, we’re going to discuss an incredibly interesting topic in the field of AI painting: why can Midjourney easily handle various styles with a 5.2 model, while Stable Diffusion requires us to switch between countless models? 🧐 In Stable Diffusion, creating an image might require you to choose from models like Realistic, Anime, 2.5D, etc. … Read more