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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.
The largest models, such as Google's Gemini 1.5, presented in February 2024, can have a context window sized up to 1 million (context window of 10 million was also "successfully tested"). [45] Other models with large context windows includes Anthropic's Claude 2.1, with a context window of up to 200k tokens. [ 46 ]
A prompt for a text-to-text language model can be a query, a command, or a longer statement including context, instructions, and conversation history. Prompt engineering may involve phrasing a query, specifying a style, choice of words and grammar, [3] providing relevant context, or describing a character for the AI to mimic. [1]
Llama (Large Language Model Meta AI, formerly stylized as LLaMA) is a family of large language models (LLMs) released by Meta AI starting in February 2023. [2] [3] The latest version is Llama 3.3, released in December 2024.
Mistral AI SAS is a French artificial intelligence (AI) startup, headquartered in Paris.It specializes in open-weight large language models (LLMs). [2] [3] Founded in April 2023 by engineers formerly employed by Google DeepMind [4] and Meta Platforms, the company has gained prominence as an alternative to proprietary AI systems.
Extend context length twice, from 4K to 32K and then to 128K, using YaRN. [51] This produced DeepSeek-V3-Base. SFT for 2 epochs on 1.5M samples of reasoning (math, programming, logic) and non-reasoning (creative writing, roleplay, simple question answering) data.
In June 2023 Baichuan launched Bachuan1, an open-source large language model which was used by researchers at universities. [1]In November 2023, Baichuan2 was released. Its context window could handle around 350,000 Chinese characters.
The goal of response prompting is to transfer stimulus control from the prompt to the desired discriminative stimulus. [1] Several response prompting procedures are commonly used in special education research: (a) system of least prompts, (b) most to least prompting, (c) progressive and constant time delay, and (d) simultaneous prompting.