40 Posts
Google unveiled Gemini, its bid to catch up to, and perhaps surpass, OpenAI’s GPT-4. Google demonstrated the Gemini family of models that accept any combination of text (including code), images, video, and audio and output text and images. The demonstrations and metrics were impressive...
Google unveiled Gemini, its bid to catch up to, and perhaps surpass, OpenAI’s GPT-4. Google demonstrated the Gemini family of models that accept any combination of text (including code), images, video, and audio and output text and images. The demonstrations and metrics were impressive...
Text-to-image generators often miss details in text prompts, and sometimes they misunderstand parts of a prompt entirely. Synthetic captions can help them follow prompts more closely.
Text-to-image generators often miss details in text prompts, and sometimes they misunderstand parts of a prompt entirely. Synthetic captions can help them follow prompts more closely.
Recent multimodal models process both text and images as sequences of tokens, but they learn to represent these distinct data types using separate loss functions. Recent work unifies the loss function as well.
Recent multimodal models process both text and images as sequences of tokens, but they learn to represent these distinct data types using separate loss functions. Recent work unifies the loss function as well.
Get ready for the next wave of language-model mania. OpenAI introduced the latest in its GPT series of large language models to widespread excitement. The company showed statistics and examples designed to demonstrate...
Get ready for the next wave of language-model mania. OpenAI introduced the latest in its GPT series of large language models to widespread excitement. The company showed statistics and examples designed to demonstrate...
Individual deep learning models proved their mettle in hundreds of tasks. The scope of multi-task models expanded dramatically in the past year.
Individual deep learning models proved their mettle in hundreds of tasks. The scope of multi-task models expanded dramatically in the past year.
Researchers took a step toward achieving a longstanding goal: One model that performs a whole lot of very different tasks. Scott Reed, Konrad Żołna, Emilio Parisotto and a team at DeepMind announced Gato.
Researchers took a step toward achieving a longstanding goal: One model that performs a whole lot of very different tasks. Scott Reed, Konrad Żołna, Emilio Parisotto and a team at DeepMind announced Gato.
Amazon reported long-term success using machine learning to shrink its environmental footprint. The online retailer developed a system that fuses product descriptions, images, and structured data to decide how an item should be packed for shipping.
Amazon reported long-term success using machine learning to shrink its environmental footprint. The online retailer developed a system that fuses product descriptions, images, and structured data to decide how an item should be packed for shipping.
While models like GPT-3 and EfficientNet, which work on text and images respectively, are responsible for some of deep learning’s highest-profile successes, approaches that find relationships between text and images made impressive
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