被引用最多的句子
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models the log-odds of an event as a linear combination of one or more independent variables
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RL is the study of agents and how they learn by trial and error.
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Kafka combines three key capabilities so you can implement your use cases for event streaming end-to-end
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models both (1) complex characteristics of word use (e.g., syntax and semantics), and (2) how these uses vary across linguistic contexts
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Plain C/C++ implementation without any dependencies
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Relying solely on a system prompt crafted with instructions to be careful of injection attempts has limited effectiveness.
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In Go, a string is in effect a read-only slice of bytes.
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JSX is a syntax extension for JavaScript that lets you write HTML-like markup inside a JavaScript file.
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Language models (LMs) exhibit remarkable abilities to solve new tasks from just a few examples or textual instructions, especially at scale.
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Mixtral 8x7B, a Sparse Mixture of Experts (SMoE) language model
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Neural networks are powerful and flexible models that work well for many difficult learning tasks
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overfitting is the production of an analysis that corresponds too closely or exactly to a particular set of data
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Prompt engineering is the process of structuring natural language inputs (known as prompts) to produce specified outputs from a generative artificial intelligence (GenAI) model.
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reinforcement learning is particularly well-suited to problems that include a long-term versus short-term reward trade-off.
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Gradient boosting is a machine learning technique based on boosting in a functional space, where the target is pseudo-residuals instead of residuals as in traditional…
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In a well-dimensioned hash table, the average time complexity for each lookup is independent of the number of elements stored
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Indoor localization services are a crucial aspect for the realization of smart cyber-physical systems within cities of the future.
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Its relative insensitivity to gap length is its advantage over other RNNs
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diffusion models, also known as diffusion-based generative models or score-based generative models, are a class of latent variable generative models
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Keras 3 is a multi-backend deep learning framework, with support for JAX, TensorFlow, PyTorch, and OpenVINO
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Language models are useful for a variety of tasks
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Machine translation is the use of computational techniques to translate text or speech from one language to another
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Generative artificial intelligence (GenAI) is a subfield of artificial intelligence (AI) that uses generative models to generate text, images, videos, audio, software code or other…
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Natural language processing (NLP) is the processing of natural language information by a computer.
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nginx has one master process and several worker processes.
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Orca: Progressive Learning from Complex Explanation Traces of GPT-4
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process of transferring knowledge from a large model to a smaller one
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Promise.race is always asynchronous: it never settles synchronously, even when the iterable is empty.
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puts elements of a list into an order
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regularization is a process that converts the answer to a problem to a simpler one.
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Decision trees are among the most popular machine learning algorithms given their intelligibility and simplicity
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generative artificial intelligence chatbot and virtual assistant developed by Google
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How can we perform efficient inference and learning in directed probabilistic models, in the presence of continuous latent variables with intractable posterior distributions, and large…
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If they find a parrot who could answer to everything, I would claim it to be an intelligent being without hesitation.
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convolution becomes quite a straightforward idea
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in-context learning (ICL) has emerged as a new paradigm
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Instruction tuning large language models (LLMs) using machine-generated instruction-following data has improved zero-shot capabilities on new tasks
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It can be accessed using:const path = require('node:path')
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decoding K tokens takes K serial runs of the model
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Demystifying Chains, Trees, and Graphs of Thoughts
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Diffusion models are inspired by non-equilibrium thermodynamics.
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designed for processing sequential data, such as text, speech, and time series
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effect of the convolutional network depth on its accuracy
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dimensionality reduction, thoughtfully applied, can give us a lot of traction on understanding neural networks.
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Large language models have been shown to achieve remarkable performance across a variety of natural language tasks using few-shot learning
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loss scales as a power-law with model size, dataset size, and the amount of compute
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emergence occurs when a complex entity has properties or behaviors that its components do not have on their own
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extends the context window sizes of RoPE-based pretrained LLMs such as LLaMA models to up to 32768
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Multi-stage builds let you reduce the size of your final image
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Native ES imports do not support bare module imports
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Next.js is a React framework for building full-stack web applications.
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Event handlers are your own functions that will be triggered in response to interactions
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normalize the activities of the neurons
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optimal lower bound $\frac{\lambda_n}{\lambda_m}\geq(\frac{n}{m})^2$ of vibrating string
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FastAPI is a modern, fast (high-performance), web framework for building APIs with Python based on standard Python type hints.
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generative adversarial network (GAN) is a class of machine learning frameworks
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first-order iterative algorithm for minimizing a differentiable multivariate function
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Finetuning language models on a collection of datasets phrased as instructions has been shown to improve model performance and generalization to unseen tasks.
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For example
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Props are the information that you pass to a JSX tag.
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Random forests are a way of averaging multiple deep decision trees
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Redundant or duplicate state is a common source of bugs.
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a new Python toolkit called RecWizard for Conversational Recommender Systems
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CNNs are also known as shift invariant or space invariant artificial neural networks
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Classes provide a means of bundling data and functionality together.
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Effects let you specify side effects that are caused by rendering itself, rather than by a particular event.
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Graph neural networks (GNNs) are artificial neural networks designed for tasks whose inputs are graphs.
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Hermann Bottenbruch published the first implementation to leave out this check in 1962
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hyperlinking is good RESTful design
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Hyperparameter optimization determines the set of hyperparameters that yields an optimal model
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Constructs a closure (an unnamed function object capable of capturing variables in scope).
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Constraints give you as much control over the data in your tables as you wish.
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In MongoDB
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In React, data that changes over time is called state.
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A typical generative task is as follows. At each step, a datapoint is sampled from the dataset, and part of the data is removed, and…
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a word embedding is a representation of a word
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Interpretability techniques are normally studied in isolation.
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activation function of a node is a function that calculates the output of the node based on its individual inputs and their weights
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Aggregate functions compute a single result from a set of input values.
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AI is the field devoted to building artifacts that are intelligent
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AI safety is an interdisciplinary field focused on preventing accidents, misuse, or other harmful consequences arising from artificial intelligence systems.
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deep learning studies a connection between optimization and functional programming.
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All modern browsers support module features natively without needing transpilation.
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denoising autoencoder for pretraining sequence-to-sequence models
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Always use string, number, or boolean for types.
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an algorithm for first-order gradient-based optimization of stochastic objective functions
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distribution of each layer's inputs changes during training
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An autoencoder is a type of artificial neural network used to learn efficient codings of unlabeled data
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An empty arrow function returns undefined
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Deeper neural networks are more difficult to train.
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Large language models (LLMs) have achieved impressive performance on code generation.
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Large Language Models are Zero-Shot Reasoners
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An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
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During development, Vite assumes that a modern browser is used.
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any model that is trained on broad data
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Any variable may be used as an indexed array
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Efficient management of attention key and value memory with PagedAttention
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Arrays are mutable in JavaScript, but you should treat them as immutable when you store them in state.
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Momentum is a heavy ball rolling down the same hill.
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Most machine learning workflows involve working with data