OpenAI’s first-ever developer conference - Key highlights

• GPT’s knowledge cutoff was updated to April 2023 
• Users will be able to fine-tune GPT-4
• OpenAI will defend any copyright infringement claims against its users
• OpenAI releases its first text2Speech model
• API access to DALL-E 3, GPT-4 (Turbo and Vision)
• GPT-4 Turbo will cost 2.75x cheaper on average
• GPT-4 Turbo 128k context window

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coreferences with GPT4

#Coreference resolution (CR) is a task in natural language processing (NLP) that identifies when two or more expressions in a text refer to the same entity. This can include pronouns like "he" or "she," definite nouns like "the car," and other expressions. 

#Coreference resolution helps in other NLP tasks such as machine translation, text summarization, and information extraction. It is required for understanding contextual information and improving comprehension of the text for machines.

Prompt Example

Extract coreferences from two sentences, and prepare the second sentence with coreference substituted. Here are two sentences. Return only second sentence with coreference

1. <First sentence - Steve jobs is great innovator. He founded apple>

2. <Second sentence - What are his key achievements>

Result

<Second sentence - What are Steve Jobs' key achievements>

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