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---------------------- Based on the information available in the extracts, it’s not possible to make specific predictions for AI in 2024. However, we can infer some trends based on the ongoing developments at OpenAI:
Continued Model Improvements : OpenAI has been consistently improving its models, as seen with the GPT-3.5 and GPT-4 series. We can expect this trend to continue, with newer models offering better performance, more capabilities, and improved efficiency (source (https://platform.openai.com/docs/models)).
Deprecation of Older Models : OpenAI has announced the retirement of older models, suggesting a focus on newer, more advanced models. This could mean that developers and users will need to adapt to the newer models and their capabilities (source (https://platform.openai.com/docs/deprecations)).
Active Research and Development : The field of large language models (LLMs) is rapidly evolving, with new techniques and models being developed. This suggests that we can expect significant advancements in the capabilities of these models in the future (source (openai-cookbook/articles/techniques_to_improve_reliability.md at main · openai/openai-cookbook · GitHub)).
Integration with Other AI Technologies : There’s a possibility of integrating GPT models with other AI technologies to create powerful pipelines, as suggested in a forum post. This could lead to more versatile and powerful AI applications (source (Anyone have any thoughts on the new "Custom Instructions" in ChatGPT? (Future of OpenAI Thoughts))).
Please note that these are inferred trends based on the available information and not specific predictions. The actual developments in AI in 2024 could be influenced by a variety of factors, including technological advancements, market demands, regulatory changes, and more. ---------------------- Note: you can ask me a follow up question by @ mentioning me again
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