Assisting Program Development with Cline

Assisting Program Development with Cline

Concept Overview Vscode is a code editor (IDE) developed by Microsoft. Cline is a plugin for Vscode that integrates AI models such as OpenAI, providing intelligent code generation. Official website: https://github.com/cline/cline LLama is a large language model developed by Meta. Installation The installation of Cline can be done by searching for the plugin in the … Read more

LLaMA Factory Fine-Tuning Guide

LLaMA Factory Fine-Tuning Guide

About LLaMA Factory In today’s rapidly advancing field of artificial intelligence, how to efficiently fine-tune and deploy large language models (LLMs) has become a hot topic in research and application. LLaMA Factory, as an open-source fine-tuning framework, has emerged in this context. It aims to provide developers with a simple and efficient tool to quickly … Read more

Defeating GPT-3 with 1/10 Parameter Size: In-Depth Analysis of Meta’s LLaMA

Defeating GPT-3 with 1/10 Parameter Size: In-Depth Analysis of Meta's LLaMA

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

Cerebras CePO: A Breakthrough Framework Enhancing Llama Model Inference

Cerebras CePO: A Breakthrough Framework Enhancing Llama Model Inference

Abstract This article delves into the latest framework launched by Cerebras, CePO (Cerebras Planning and Optimization), which is an innovative technology aimed at significantly enhancing the reasoning and planning capabilities of the Llama model family. CePO provides a new solution for complex reasoning tasks by deeply integrating optimization algorithms with language model capabilities. 1. Introduction … Read more

RestAI: An Open Source AIaaS Platform Using LlamaIndex, Ollama, and HF Pipelines

RestAI: An Open Source AIaaS Platform Using LlamaIndex, Ollama, and HF Pipelines

Project Introduction Project: There are various types of agents (projects), each with its own functionality. (rag, ragsql, inference, vision) User: Users represent the system’s users. It is used for authentication and authorization (basic authentication). Each user can access multiple projects. LLMs: Supports any public or local LLM supported by LlamaIndex or Ollama. VRAM: Automatic VRAM … Read more

Using LlamaIndex to Create Custom Agent Functions

Using LlamaIndex to Create Custom Agent Functions

Overview This article introduces how to use LlamaIndex to write your own Agent handling functions. Note that this article uses a locally deployed LLM supported by Ollama for practical implementation, rather than remotely calling the OpenAI API. The goal of this article is to save the output content to a PDF file and then stop … Read more

Advanced Indexing Techniques with LlamaIndex and Ollama: Part 2

Advanced Indexing Techniques with LlamaIndex and Ollama: Part 2

Are you still troubled by the uneven quality and poor performance of AI in China? Then let’s take a look at Developer Cat AI (3in1). This is an integrated AI assistant that combines GPT-4, Claude3, and Gemini into one. It covers all models of the three AI tools. Including GPT-4o and Gemini flash Now you … Read more

Comparing Mistral AI and Meta: Top Open Source LLMs

Comparing Mistral AI and Meta: Top Open Source LLMs

Source: Deephub Imba This article is about 5000 words long, and it is recommended to read for 10 minutes. This article will compare Mistral 7B vs Llama 2 7B and Mixtral 8x7B vs Llama 2 70B. To improve performance, large language models (LLMs) typically achieve this goal by increasing the model size. This article will … Read more

LongQLoRA: Efficiently Extending LLaMA2-13B Context Length

LongQLoRA: Efficiently Extending LLaMA2-13B Context Length

Click the card below to follow the “LiteAI” public account This article will introduce our work on efficiently extending the context length of large models with low resources:LongQLoRA. It will involve knowledge related to Position Interpolation and QLoRA, and we recommend combining it with previous articles to help understand this work: Illustration of RoPE Rotational … Read more