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Claude is a family of large language models developed by Anthropic. [1] [2] The first model was released in March 2023.The Claude 3 family, released in March 2024, consists of three models: Haiku optimized for speed, Sonnet balancing capabilities and performance, and Opus designed for complex reasoning tasks.
In Claude 3, for example, this cutoff is August 2023. ... Once you know how to prompt an AI image generator, you can create all kinds of graphics—including ones that are sized for social media ...
The name, "Claude", was chosen either as a reference to mathematician Claude Shannon, or as a male name to contrast the female names of other A.I. assistants such as Alexa, Siri, and Cortana. [3] Anthropic initially released two versions of its model, Claude and Claude Instant, in March 2023, with the latter being a more lightweight model.
In-context learning, refers to a model's ability to temporarily learn from prompts.For example, a prompt may include a few examples for a model to learn from, such as asking the model to complete "maison → house, chat → cat, chien →" (the expected response being dog), [23] an approach called few-shot learning.
Examples: “Limit your response to 250 words,” “Give me the list in bullet points,” “Format the results as a table,” “Use this data to create a bar chart.” Remember, AI can’t read ...
First, know that chatbots—ChatGPT, Claude, Perplexity, Copilot, Gemini, and others—are an immensely powerful type of AI called an LLM (large language model).
Other models with large context windows includes Anthropic's Claude 2.1, with a context window of up to 200k tokens. [46] Note that this maximum refers to the number of input tokens and that the maximum number of output tokens differs from the input and is often smaller. For example, the GPT-4 Turbo model has a maximum output of 4096 tokens. [47]
Prompts containing potentially objectionable content are blocked, and uploaded images are analyzed to detect offensive material. [44] A disadvantage of prompt-based filtering is that it is easy to bypass using alternative phrases that result in a similar output. For example, the word "blood" is filtered, but "ketchup" and "red liquid" are not ...