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· 2024-07-20 16:06:40 Together Mixture Of Agents (MoA)
estimated reading time: 5 min Learn how to use Together MoA in 50 lines of code!Suggest Edits Mixture of Agents (MoA) is a novel approach that leverages the collective strengths of multiple LLMs to enhance performance, achieving state-of-the-art results. By employing a layered architect
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· 2024-07-20 09:40:37 Basic RAG | Mistral AI Large Language Models
estimated reading time: 11 min Retrieval-augmented generation (RAG) is an AI framework that synergizes the capabilities of LLMs and information retrieval systems. It's useful to answer questions or generate content leveraging external knowledge. There are two main steps in RAG: 1) retri
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· 2024-07-15 23:33:36 Together Mixture Of Agents (MoA)
estimated reading time: 3 min Together Mixture-Of-Agents (MoA)Learn how to use Together MoA in 50 lines of code!Suggest Edits Mixture of Agents (MoA) is a novel approach that leverages the collective strengths of multiple LLMs to enhance performance, achieving state-of-the-art results.
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· 2024-07-04 06:56:19 Build your first plugin: a weather plugin Cheshire Cat AI
estimated reading time: 13 min The objective of this article is to provide you a complete beginner guide to plugin development for the Cheshire Cat AI framework! We’ll start from the basis and then we’ll add up features until we reach a complete plugin which uses most of the feature
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· 2024-06-28 16:20:04 Getting started Cheshire Cat AI
estimated reading time: 1 min To run the Cheshire Cat, you need to have docker (instructions) and docker-compose (instructions) installed on your system.Create and API key on the language model provider website Start the app with docker-compose up inside the repository Open the app in y
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· 2024-06-28 16:19:39 Who are you? (Said the caterpillar) Cheshire Cat AI
estimated reading time: < 1 min The Cheshire Cat is an open-source framework that allows you to develop intelligent agents on top of many Large Language Models (LMM). You can develop your custom AI architecture to assist you in a wide range of tasks.The Cheshire Cat embeds a long-
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· 2024-06-28 16:14:53 Don't get lost in Vector Space Cheshire Cat AI
estimated reading time: 2 min From “How the Cat works”, we report a simple image with all the Cheshire-Cat components.In this post, we focus on the Vector Memory. We look inside it and explain how to import/export and share conversations.Cheshire-Cat’s Memory is based on Qdrant Da
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· 2024-06-28 16:14:32 How to Run a Local Model with Ollama Cheshire Cat AI
estimated reading time: 3 min Easy-to-use setup to extend the Cheshire Cat Docker configuration and run a local model with Ollama. If you’re interested in having the Cheshire Cat running a local Large Language Model (LLM), there are a handful of methods available. These are: serving
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· 2024-06-28 16:13:06 The Drunken Cat Effect Cheshire Cat AI
estimated reading time: 4 min In the first article about Vector Memory, we talked about: an introduction to Vector Memory and how it works; we took a look inside the memory, thanks to the Memory tab in the admin; we saw how to save and exchange memories. Today, we are going to focus on
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· 2024-06-12 17:38:11 Vanna.AI Personalized AI SQL Agent
estimated reading time: < 1 min !pip install vannaimport vannafrom vanna.remote import VannaDefaultvn = VannaDefault(model='chinook', api_key=vanna.get_api_key('my-email@example.com'))vn.connect_to_sqlite('https://vanna.ai/Chinook.sqlite')vn.ask('What are the top 10 artists by sales?
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· 2024-06-11 17:49:56 Open Source Evaluation & Testing for LLMs and ML models docs.giskard.ai
estimated reading time: < 1 min wallabag can't retrieve contents for this article. Please troubleshoot this issue.
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· 2024-06-08 17:33:48 Cheshire Cat AI, lo Stregatto italiano dell'Intelligenza Artificiale
estimated reading time: 6 min Indice dell'articoloCaratteristiche principali Primo avvio Primo esperimento: chi ha vinto Sanremo 2024? Iniziamo a fare sul serio La piattaforma di cui parliamo in questo articolo, Cheshire Cat AI o Stregatto all’italiana, è un framework open source che
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· 2024-02-12 23:11:59+01:00 Write Your First Plugin Cheshire Cat AI
estimated reading time: 7 min Writing a plugin with the Cat takes just a few lines of Python.Our first plugin will turn the Cat into a poetic socks seller. Despite the example being light and fun, it should give you an idea of what is possible. Hence, let’s dive into writing your firs
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· 2024-02-10 02:45:54+01:00 Home Cheshire Cat AI
estimated reading time: < 1 min Upload pdf, txt, markdown, JSON, web pages or office documents to train your AI.Developers can seamlessly integrate external services into their AI projects using user-friendly primitives.Use OpenAI, Google, Cohere, Ollama, HuggingFace, or a custom loc




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