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In a blog post<\/a>, OpenAI said the updated GPT-4 Turbo \u201ccompletes tasks like code generation more thoroughly than the previous preview model and is intended to reduce cases of \u2018laziness\u2019 where the model doesn\u2019t complete a task.\u201d <\/p>\n<\/div>\n The company, however, did not explain what it updated. <\/p>\n<\/div>\n Some ChatGPT users recently complained about the chatbot frequently refusing to complete<\/a> prompted tasks and blamed the lack of updates to GPT-4. However, OpenAI\u2019s update is for GPT-4 Turbo<\/a>, a version of the more widely available GPT-4 that was trained on information as recent as April 2023 and is only available in a preview. Those using GPT-4, which learned from data available prior to September 2021, may still experience the same laziness issues.\u00a0<\/p>\n<\/div>\n OpenAI said in the post that more than 70 percent of those using GPT-4 via its API have moved to GPT-4 Turbo because of its more updated knowledge base.\u00a0<\/p>\n<\/div>\n The company said more updates to GPT-4 Turbo are coming in the next few months, including the general availability of GPT-4 Turbo with vision. This will allow users to do more multimodal prompts like text-to-image generation.\u00a0<\/p>\n<\/div>\n OpenAI also launched smaller AI models called embeddings. OpenAI defines Embeddings as a \u201csequence of numbers that represents the concepts within content such as natural language or codes.\u201d This helps applications using retrieval-augmented generation \u2014 a type of AI that takes information from a database instead of generating its answer \u2014 figure out the relationship of different contents it\u2019s accessing.\u00a0<\/p>\n<\/div>\n