Tool that estimate is a given text is real or generated by GPT.
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800+ ChatGPT and GPT-3 Examples, Demos, Apps, Showcase, and Generative AI Use-cases.
GPT-4 Examples, Demos, Apps, Showcase, and Generative AI Use-cases.
Implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.
Creating semantic cache to store responses from LLM queries.
GPU cluster manager for running and managing LLMs.
GraphPipe supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Library for calculating great circle distance.
Documentation for Grit, covering setup, features, and practical usage.
An LLM by xAI with open source and open weights. opensource.
Groq supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Guild AI supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Pandas AI is a Python library that integrates LLMs capabilities into Pandas, making dataframes conversational.
A library for developing and comparing reinforcement learning algorithms (successor of [gym])(https://github.com/openai/gym).
Creates, rewrites or summarizes written content with language models.
Beer glass classifier created with Synaptic.
Run LLM backends, APIs, frontends, and services with one command.
Framework for building applications with LLMs and Transformers (e.g. agents, semantic search, question-answering).
Helicone AI supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Creates, rewrites or summarizes written content with language models.
Creates, rewrites or summarizes written content with language models.
Distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Framework for distributed hyperparameter optimization.
Making large AI models cheaper, faster and more accessible.