Multimodal model. Originally LLMs were specifically tuned just for text, but with the multimodal approach it is possible to handle both text and images. GPT-4 is an example of this type of model. For more on generative AI, read the following articles: Generative AI challenges that businesses...
Prompt Engineering|LangChain|LlamaIndex|RAG|Fine-tuning|LangChain AI Agent|Multimodal Models|RNNs|DCGAN|ProGAN|Text-to-Image Models|DDPM|Document Question Answering|Imagen|T5 (Text-to-Text Transfer Transformer)|Seq2seq Models|WaveNet|Attention Is All You Need (Transformer Architecture)|WindSurf|...
What are large language models? Large language models (LLMs) are an application ofmachine learning (ML), a branch of AI focused on creating systems that can learn from and make decisions based on data. LLMs are built usingdeep learning, a type of machine learning that usesneural networkswit...
Gemini –a multimodal model that processes and generates both text and images. It excels at creative and analytical tasks that require complex contextual understanding. Grok –designed to be less filtered than other models. It supports candid, often humorous conversations and handles controversial topic...
Examples of multimodal AI The following are examples of multimodal AI models currently in use: Claude 3.5 Sonnet.This model, developed by Anthropic, processes text and images to deliver nuanced, context-aware responses. Its ability to integrate multiple data types and formats enhances user experience...
Depending on the type of data foundation models can take as inputs, they can be unimodal or multimodal. The former can only take one type of data and generate the same type of output, while the latter can receive multiple modalities of input type and generate multiple types of outputs (...
language models are usually dictated by their training process. While some models don’t need training data for specific tasks, others are fine-tuned on specific data to perform specific tasks or functions. The common types of LLMs are: zero-shot, fine-tuned (domain-specific), and multimodal...
Reasoning models are relatively new and, as a result, typically lack multimodal features. Some can handle images, but they don't have the kinds of live audio and video features that, for example, GPT-4o provides through Advanced Voice Mode. Since reasoning models typically cost far more to ...
The three main types of machine learning are supervised, unsupervised and semi-supervised learning. What are examples of machine learning? Examples of machine learning include pattern recognition, image recognition, linear regression and cluster analysis. ...
MultimodalModality modelsModality theoryPresentation planningIn order to produce coherent multimodal output a presentation planner in a multimodal dialogue system must have a notion of the types of the multimodalities, which are currently present in the system. More specifically the planner needs ...