The two presented their groundbreaking Logic Theorist, a computer program capable of proving certain mathematical theorems and often referred to as the first AI program. A year later, in 1957, Newell and Simon created the General Problem Solver algorithm that, despite failing to solve more complex ...
To answer the question, “what is good enough?”, it becomes necessary to distinguish between anAI model and an AI system as the unit of performance assessment. An AI model typically involves some input data, a pattern-matching algorithm, and an output classification. For example,...
This has three names: an error function, a loss function, or an objective function, because the algorithm has an objective… When someone says they are working with a machine-learning algorithm, you can get to the gist of its value by asking: What’s the objective function?
Two mechanisms make transformers particularly adept for text-based generative AI applications: self-attention and positional encodings. Both of these technologies help represent time and allow for the algorithm to focus on how words relate to each other over long distances ...
In the early training stages, the model’s predictions aren’t very good. But each time the model predicts a token, it checks for correctness against the training data. Whether it’s right or wrong, a “backpropagation” algorithm adjusts the parameters—that is, the formulas’ coefficients—...
dating back to the 1960s when it was introduced in chatbots. It wasn't until 2014, however, with the introduction of generative adversarial networks (GANs) -- a type of machine learning algorithm -- that generative AI could createconvincingly authentic images, videos and audio of real people...
AI algorithmscan inadvertently perpetuate or even exacerbate existing biases present in the data they are trained on. For instance, a hiring algorithm trained on historical data may favor certain demographic groups over others. It’s crucial to implement checks and balances such as bias detection too...
Directly underneath AI, we have machine learning, which involves creatingmodelsby training an algorithm to make predictions or decisions based on data. It encompasses a broad range of techniques that enable computers to learn from and make inferences based on data without being explicitly programmed ...
It was originally designed to use Google's DeepDream algorithm but has added text-to-image algorithms like FLUX.1 and custom-trained Stable Diffusion models. Artbreeder AI art models: BigGAN, StyleGAN, FLUX.1, and Stable Diffusion Platform: Web Pricing: Free for 3 credits/month and most ...
XGL 的伪代码如 Algorithm 1 所示。在每次迭代中,在当前训练集 S 上拟合一个分类器 h,并使用全局解释 g=π(h)进行概括。然后,将 g 提交给 supervisor。每条规则都被翻译成 visual artifact 或文字描述,并与它所涵盖的样本一起展示。按照规则对样本进行标注。然后要求 supervisor 提供一个或多个解释有误的样本...