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OpenAI Codex is an artificial intelligence model developed by OpenAI. It parses natural language and generates code in response. It powers GitHub Copilot, a programming autocompletion tool for select IDEs, like Visual Studio Code and Neovim. [ 1] Codex is a descendant of OpenAI's GPT-3 model, fine-tuned for use in programming applications.
TensorFlow.nn is a module for executing primitive neural network operations on models. [ 38] Some of these operations include variations of convolutions (1/2/3D, Atrous, depthwise), activation functions ( Softmax, RELU, GELU, Sigmoid, etc.) and their variations, and other operations ( max-pooling, bias-add, etc.).
Perplexity AI is an AI-powered research and conversational search engine that answers queries using natural language predictive text .Launched in 2022, Perplexity generates answers using sources from the web and cites links within the text response. [ 2] Perplexity works on a freemium model; the free product uses the company's standalone large ...
GitHub Copilot. GitHub Copilot is a code completion tool developed by GitHub and OpenAI that assists users of Visual Studio Code, Visual Studio, Neovim, and JetBrains integrated development environments (IDEs) by autocompleting code. [ 1] Currently available by subscription to individual developers and to businesses, the generative artificial ...
Business Intelligence - Generative BI. Generative BI [ 67] refers to the application of generative AI techniques, like Large Language Models (LLMs), in business intelligence. This combination accelerates the development of advanced models, automates data analysis, and facilitates the generation of actionable insights.
Pythonis a high-level, general-purpose programming languagethat is popular in artificial intelligence.[1] It has a simple, flexible and easily readable syntax.[2] Its popularity results in a vast ecosystem of libraries, including for deep learning, such as PyTorch, TensorFlow, Keras, Google JAX.
v. t. e. Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect ...
LangChain.com. LangChain is a framework designed to simplify the creation of applications using large language models (LLMs). As a language model integration framework, LangChain's use-cases largely overlap with those of language models in general, including document analysis and summarization, chatbots, and code analysis.