Examples of multimodal learning What does it look like, practically speaking, to create learning content that can speak to multiple learning styles? Here are three examples of engaging learning content that can help your organization with every step of learning, from onboarding to customer education...
The most common foundation models today arelarge language models (LLMs), created for text generation applications. But there are also foundation models for image, video, sound or music generation, and multimodal foundation models that support several kinds of content. To create a foundation model, ...
The most common foundation models today arelarge language models (LLMs), created for text generation applications. But there are also foundation models for image, video, sound or music generation, and multimodal foundation models that support several kinds of content. To create a foundation model, ...
Examples of microlearning include: Short videos Infographics Mobile apps Pop-ups and error messages “Microlearning is the way to go. If there’s one thing people don’t have right now, it’s time.” –Seth Jones, Manager, Customer Success, Vanta ...
Autoregressive Models: These models generate text one token at a time based on the previously generated tokens. Examples include OpenAI’s GPT series and Google’s BERT. Conditional Generative Models: These models generate text conditioned on some input, such as a prompt or context. They are ofte...
These UI components and features work together to create a seamless customer experience. However, embedded components are not restricted to the examples listed below; similar to websites, companies can render any graphical element they require. Here are a few examples of embedded components and ...
The dimensions of the image must be greater than 50 x 50 pixels and less than 16,000 x 16,000 pixels Tip Input requirements for multimodal embeddings are different and are listed inMultimodal embeddings Language support Different Image Analysis features are available in different languages. See the...
There are different ways that teams find and register their IoT devices. Some of these include service discovery protocols, network scanning, or even just adding them to their centralized IoT platform. Teams then add unique identifiers, like MAC addresses, to the devices and define each device wi...
Now that GPT offers a multimodal model (GPT-4o), things are different. In addition to an unimaginable quantity of text, multimodal models are also trained on millions or billions of images (with accompanying text descriptions), video clips, audio snippets, and examples of any other modality ...
More quota for vectorsInfrastructureVector quotas are also higher on new services created after April 3, 2024 in selected regions. Vector quantization, narrow vector data types, and a newstoredproperty (preview)FeatureCollectively, these three features add vector compression and smarter storage options....