A technical analysis explores the knowledge cutoffs and pre-training timelines of large language models from Anthropic and OpenAI. The article delves into the specifics of models like Claude 3 Opus, Sonnet, and Haiku, as well as GPT-4 and GPT-4 Turbo, examining how their training data influences their understanding of current events. This comparison highlights the ongoing challenge of keeping AI models up-to-date with real-world information. AI
IMPACT Provides insight into the limitations and development timelines of current leading LLMs, informing users about model capabilities.
RANK_REASON The article analyzes existing models and their training data, rather than announcing a new release or significant industry event.
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- Anthropic
- Claude 3
- Claude 3 Haiku
- Claude 3 Opus
- Claude 3 Sonnet
- generative pre-trained transformer
- GPT-4
- GPT-4 Turbo
- OpenAI
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