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Using Low-rank adaptation to quickly fine-tune diffusion models.
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Tensorflow and OpenAI Clarity's Lucid adapted for PyTorch.
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A low-code framework for building custom AI models like LLMs and other deep neural networks. opensource.
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TypeScript SDK to easily call 100+ LLMs using OpenAI's format.
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Markov chain Monte Carlo (MCMC) for Bayesian analysis in Julia.
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Small Language Model tailored for edge devices.
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The memory layer for Personalized AI.
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Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
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Official repository to use and implement LLaMA 3.1 models, Meta's state-of-the-art large language models.
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JARVIS, a system to connect LLMs with ML community.
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General technology for enabling AI capabilities w/ LLMs and MLLMs.
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Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"s.
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Integrate LLM technology quickly and easily into your apps.
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LLM-powered multiagent persona simulation for imagination enhancement and business insights.
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C, C++, and Python tools for named entity recognition and relation extraction.
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A Julia package for fitting (statistical) mixed-effects models.
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No need to keep checking your training, just one import line and you'll know the second it's done.
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Visual testing tool for MCP servers.
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OpenAI compatible API for LLMs and embeddings (LLaMA, Vicuna, ChatGLM and many others).
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Global, black box optimization engine for real world metric optimization by Yelp.
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Montague is a semantic parsing library for Scala with an easy-to-use DSL.
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Machine learning model serving framework with dynamic batching and pipelined stages, provides an easy-to-use Python interface.
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Llama3 implementation one matrix multiplication at a time.
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A Natural Adversarial Language Processing framework built over Tensorflow.