Train and deploy custom large language models with GPT4All software. Optimized for running inference on everyday hardware and compatible with various Transformer Decoder architectures.
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Groq utilizes LPA architecture for high-speed LLM inference, optimizing performance for advanced AI applications.
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Mamba neural network is a groundbreaking architecture that surpasses Transformers in efficiency and speed, offering a 5x increase in inference speed and state-of-the-art performance in various tasks by utilizing structured state space models and hardware-aware parallel algorithms.
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Enhance chatbot capabilities with LibreChat, an open-source AI communications platform offering various features and plugins for AI model selection and interaction with external data sources.
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Chat with your documents securely using LocalGPT, an open-source project supporting various models, embeddings, and formats. Requires Python 3.10+, C++ compiler, and optional CUDA or Docker for GPU inference.
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Learn how to build a knowledge graph using a large language model and Neo4j by importing a James Bond Wikipedia article, applying a schema, and visualizing in Neo4j Browser.
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