HuggingFace’s Experiments on Effective Tricks for Multimodal Models

HuggingFace's Experiments on Effective Tricks for Multimodal Models

Xi Xiaoyao Technology Says Original Author | Xie Nian Nian When constructing multimodal large models, there are many effective tricks, such as using cross-attention mechanisms to integrate image information into language models or directly combining image hidden state sequences with text embedding sequences as inputs to the language model. However, the reasons why these tricks … Read more

Exploring Pre-Trained Neural Networks for Feature Extraction

Exploring Pre-Trained Neural Networks for Feature Extraction

Introduction In this article, I will explore a common practice in representation learning—using the frozen states of pre-trained neural networks as feature extractors. Specifically, I am interested in comparing the performance of simple models trained using these extracted neural network features with that of fine-tuned neural networks initialized with transfer learning. The intended audience is … Read more

Getting Started with Hugging Face

Getting Started with Hugging Face

This Article Covers The main contents of this article include: What is Hugging Face and what does it offer Using Hugging Face models (Transformers library) Using Hugging Face datasets (Datasets library) Introduction to Hugging Face Similar to GitHub, Hugging Face is a hub (community). It can be considered the GitHub of the machine learning world. … Read more

Embedding Models in LlamaIndex

Embedding Models in LlamaIndex

You may have heard of the concept of word embedding, which represents semantics using numerical vectors. The closer the numerical vectors are, the more similar the corresponding statements or words are in meaning. LlamaIndex also uses embeddings to represent documents. The embedding model takes text as input and returns a long string of numbers that … Read more

Introduction and Tutorial for Stable Diffusion

Introduction and Tutorial for Stable Diffusion

Source:DeepHuhb IMBA This articleis about 4800 words and is recommended to be read in9minutes This article introduces Stable Diffusion, a latent diffusion model for text-to-image generation, along with a tutorial on its usage. Stable Diffusion is a latent diffusion model for text-to-image generation, created by researchers and engineers from CompVis, Stability AI, and LAION. It … Read more

Interpreting the JARVIS Project: Connecting ChatGPT and HuggingFace to Solve AI Issues

Interpreting the JARVIS Project: Connecting ChatGPT and HuggingFace to Solve AI Issues

The latest online sharing session by Machine Heart invited Song Kaitao, a researcher at Microsoft Research Asia, to share their recent open-source project JARVIS. Recently, large language models (LLMs), represented by ChatGPT, have garnered significant attention in both industry and academia. However, LLMs, which primarily handle text, still face numerous bottlenecks when addressing many complex … Read more

HuggingGPT: Bringing Jarvis to Reality

HuggingGPT: Bringing Jarvis to Reality

Since the advent of ChatGPT, various GPTs have emerged. Recently, Microsoft launched HuggingGPT and open-sourced the corresponding project on GitHub – Jarvis. Just these two points are enough to pique the public’s interest. Today’s article will simply interpret HuggingGPT, specifically the paper – HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face[1]. … Read more

Free and Effective AI Video Generation with SVD

Free and Effective AI Video Generation with SVD

(You need to download ComfyUI first, I recommend looking at the previous SVD article) What! Are there still experts? (AI Drawing: Basic Installation and Use of ComfyUI) Actually, during my previous learning of Stable Diffusion, I learned about AI video generation tools like Runway Gen2 and Pika, which, while useful, require payment. A monthly subscription … Read more

Milvus Practical Application – Question Answering System

Milvus Practical Application - Question Answering System

Milvus Vector Database The previous article introduced the installation and deployment of the Milvus vector database. This time, we will introduce an application example of Milvus. With the similarity search feature of Milvus, there are many applicable scenarios: • Image similarity search: Images can be searched and the most similar images can be returned immediately … Read more