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ChatGPT Plugins by SamurAI VS Ollama

Compare ChatGPT Plugins by SamurAI VS Ollama and see what are their differences

ChatGPT Plugins  by SamurAI logo ChatGPT Plugins by SamurAI

Access to chatGPT plugins without ChatGPT Plus

Ollama logo Ollama

The easiest way to run large language models locally
  • ChatGPT Plugins  by SamurAI Landing page
    Landing page //
    2023-09-01
  • Ollama Landing page
    Landing page //
    2024-05-21

ChatGPT Plugins by SamurAI videos

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Ollama videos

Code Llama: First Look at this New Coding Model with Ollama

More videos:

  • Review - Whats New in Ollama 0.0.12, The Best AI Runner Around
  • Review - The Secret Behind Ollama's Magic: Revealed!

Category Popularity

0-100% (relative to ChatGPT Plugins by SamurAI and Ollama)
Productivity
67 67%
33% 33
AI
31 31%
69% 69
Developer Tools
0 0%
100% 100
Sales
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Ollama should be more popular than ChatGPT Plugins by SamurAI. It has been mentiond 38 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

ChatGPT Plugins by SamurAI mentions (9)

  • Rabbit R1, a thing that should just be an app, is just an Android app
    Are you referring to this? https://openai.com/blog/chatgpt-plugins Rabbit's approach is one-sided (train their model to generate needed API calls, and maybe also perform Selenium-style simulated actions?) which should make it more flexible if inherently less reliable than dedicated plugins written by developers from the apps looking to be called via AI. - Source: Hacker News / 2 months ago
  • ChatGPT Code Interpreter Feature: 2023’s Detailed Guide
    To enable the plugin, simply navigate to your settings and locate the "Beta Features" section. There, you'll find the option to activate the ChatGPT code interpreter plugin and unlock its powerful capabilities. - Source: dev.to / 8 months ago
  • Adapting API Strategies to Dynamic AI Trend
    The output from an AI model in response to a prompt is typically textual. To translate these "ideas" into actionable outcomes, AI services need to call APIs. These APIs can initiate actions in the real or digital world, such as making payments, booking an appointment, sending messages, or adjusting room temperatures. In essence, APIs act as the hands of an AI service, enabling it to interact with its environment.... - Source: dev.to / 10 months ago
  • How to block ChatGPT from scraping your website.
    ChatGPT is an AI language model developed by OpenAI, known for its ability to generate human-like text based on input prompts. It is widely used for various applications, including chatbots, content generation, and data analysis. ChatGPT can access and parse information from websites through plugins and OpenAIs web crawler, making it essential for website owners who don't want their data trained on by AI models to... - Source: dev.to / 10 months ago
  • How to build a custom GPT enabled full-stack app for real-time data
    As you can see, you get the expected output and this is quite simple to achieve since ChatGPT is context-aware now. However, the issue with this method is that the model’s context is restricted (gpt-4 maximum text length is 8,192 tokens). This strategy will quickly become problematic when input data is huge you may expect thousands of items discovered in sales and you can not provide this large amount of data as... - Source: dev.to / 10 months ago
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Ollama mentions (38)

  • Ask HN: How can I built an AI assistant using RAG?
    What programming language are you using? I am building a news site based on hackernews posts (https://news.facts.dev/) and I use these tools: https://ollama.com/ (llama3 as self hosted model). - Source: Hacker News / 1 day ago
  • Singulatron: Have your own internal AI network
    Whats better in that then ollama with open webui? https://ollama.com/. - Source: Hacker News / 3 days ago
  • Build Your Own RAG App: A Step-by-Step Guide to Setup LLM locally using Ollama, Python, and ChromaDB
    In an era where data privacy is paramount, setting up your own local language model (LLM) provides a crucial solution for companies and individuals alike. This tutorial is designed to guide you through the process of creating a custom chatbot using Ollama, Python 3, and ChromaDB, all hosted locally on your system. Here are the key reasons why you need this tutorial:. - Source: dev.to / 6 days ago
  • Use Continue, Ollama, Codestral, and Koyeb GPUs to Build a Custom AI Code Assistant
    Ollama is a self-hosted AI solution to run open-source large language models on your own infrastructure, and Codestral is MistralAI's first-ever code model designed for code generation tasks. - Source: dev.to / 12 days ago
  • How even the simplest RAG can empower your team
    Finally, you need Ollama, or any other tool that letʼs you run a model and expose it to a web endpoint. In the example, we use Meta's Llama3 model. Models like CodeLlama:7b-instruct also work. Feel free to change the .env file and experiment with different models. - Source: dev.to / 11 days ago
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What are some alternatives?

When comparing ChatGPT Plugins by SamurAI and Ollama, you can also consider the following products

Langdock - Create, Deploy, Test & Monitor ChatGPT Plugins in Minutes

Auto-GPT - An Autonomous GPT-4 Experiment

whatplugin.ai - Easily Find Plugins For ChatGPT

BabyAGI - A pared-down version of Task-Driven Autonomous AI Agent

Sales Samurai - The largest database of B2B sales resources on the planet.

AgentGPT - Assemble, configure, and deploy autonomous AI Agents in your browser