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· 2024-01-21 11:19:36+01:00 AI Alliance Launches as an International Community of Leading Technology Developers, Researchers, and Adopters Collaborating Together to Advance Open, Safe, Responsible AI
estimated reading time: 22 min AI advancements are leading to new opportunities that can improve how we work, live, learn and interact with one another. Open and transparent innovation is essential to empower a broad spectrum of AI researchers, builders, and adopters with the informatio
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· 2024-01-21 11:15:23+01:00 The 5 Best Vector Databases | A List With Examples
estimated reading time: 10 min The landscape of vector databases (Image Source)In the realm of Artificial Intelligence (AI), vast amounts of data require efficient handling and processing. As we delve into more advanced applications of AI, such as image recognition, voice search, or rec
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· 2024-01-21 11:09:48+01:00 What is a Vector Database & How Does it Work? Use Cases + Examples | Pinecone
estimated reading time: 18 min What is a Vector Database?A vector database is a type of database that indexes and stores vector embeddings for fast retrieval and similarity search, with capabilities like CRUD operations, metadata filtering, and horizontal scaling.We’re in the midst of
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· 2024-01-07 07:08:25+01:00 Discover llamaindex Video Series llamaindex 🦙 0.9.26
estimated reading time: < 1 min If you like learning from videos, now’s a good time to check out our “Discover llamaindex” series. If not, we recommend heading on to our Understanding llamaindex tutorial.SubQuestionQ
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· 2024-01-07 01:15:08+01:00 llamaindex 🦙 0.9.26
estimated reading time: 2 min llamaindex is a data framework for LLM-based applications to ingest, structure, and access private or domain-specific data. It’s available in Python (these docs) and Typescript.🚀 Why llamaindex
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· 2024-01-07 01:12:16+01:00 llamaindex Data Framework for LLM Applications
estimated reading time: < 1 min llamaindex - Data Framework for LLM Applications llamaindex is a simple, flexible data framework for connectingcustom data sources to large language models. Get Started on GitHub for develop
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· 2024-01-07 01:04:38+01:00 Esperimenti con LLM e RAG: Diario minimo di laboratorio
estimated reading time: 5 min Mi vengono in mente varie ragioni per cui sarebbe meglio non doversi affidare a sistemi terzi come ChatGPT senza però rinunciare alla possibilità di utilizzare un modello LLM nel proprio business. Sappiamo anche però che l’addestramento di modelli di l
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· 2024-01-04 17:52:08+01:00 Getting started with Llama 2
estimated reading time: 31 min QUICK SETUP Prerequisite OS: Ubuntu Packages: wget, md5sum Package Manager: Conda ME If you want to use Llama 2 on Windows, macOS, iOS, Android or in a Python notebook, please refer to the open source community on how they have achieved this. Here are some




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