Ollama: A Powerful Tool for Local Large Model Building

Ollama: A Powerful Tool for Local Large Model Building

1. What is Ollama Ollama is a concise and easy-to-use local framework for running large models, allowing users to quickly run large models on their local computers, with most of the code written in Golang. Project address: https://github.com/ollama/ollama Official project: https://ollama.com/ 2. Why Ollama Exists The existence of Ollama can be traced back to Llama … Read more

Efficient Selection: In-Depth Comparison of Ollama and LM Studio

Efficient Selection: In-Depth Comparison of Ollama and LM Studio

πŸš€ Ollama and LM Studio In the IT industry, choosing the right tool is like selecting a Swiss Army knife that fits your hand; it requires precision and efficiency. For IT professionals, the decision between Ollama and LM Studio is a question worth pondering. Today, we will conduct an in-depth comparison of these two local … Read more

Ollama: An Open Source Tool for Running Large Language Models Locally

Ollama: An Open Source Tool for Running Large Language Models Locally

In today’s rapidly advancing field of artificial intelligence, large language models (LLMs) have become crucial tools for transforming productivity. However, using online API services often comes with high costs and privacy concerns. If we could deploy and run open-source models locally, it would be an ideal solution. Today, we will introduce Ollama, a powerful open-source … Read more

Introduction and Testing of Ollama

Introduction and Testing of Ollama

1. Introduction to Ollama Ollama is an open-source tool designed for the convenient deployment and execution of large language models (LLMs) on local machines. It provides a simple and efficient interface that allows users to easily create, execute, and manage these complex models. Additionally, Ollama comes equipped with a rich library of pre-built models, enabling … Read more

Introduction to Neural Machine Translation and Seq2Seq Models

Introduction to Neural Machine Translation and Seq2Seq Models

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

Overview of Multimodal Large Models

Overview of Multimodal Large Models

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

Overview of 26 SOTA Multi-Modal Large Language Models

Overview of 26 SOTA Multi-Modal Large Language Models

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

How Large Models Change Content Ecology

How Large Models Change Content Ecology

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

How to Address Uncontrollable AI Hallucinations

How to Address Uncontrollable AI Hallucinations

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

A Guide to Large Model Evolution from Huggingface: No Need to Fully Reproduce GPT-4

A Guide to Large Model Evolution from Huggingface: No Need to Fully Reproduce GPT-4

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