OpenAI has gifted this superpower to ChatGPT with its recent upgrade! With a context window upgrade from 4,000 to 16,000 tokens, ChatGPT is set for deeper, more comprehensive interactions.
In this blog post, we’re going to delve deeper into what a ’16K context window’ truly signifies and how it’s revolutionizing our interactions with LLMs.
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What is the ChatGPT Context Window?
The ‘context window’ of an AI model refers to its memory span which determines the amount of previous information it can use while formulating a response. With OpenAI’s API upgrade, ChatGPT has jumped from a context window of 4K tokens to a whopping 16K tokens. It’s like upgrading the chatbot’s brain to remember and process four times more information at once!
My Experiments with 16K Tokens
Using my API access to GPT-3.5 Turbo, I meticulously tested this exciting feature by feeding in data chunks that exceeded the earlier 4K token limit but fell within the updated range of 16K. Think of it as working with an AI librarian who can speed-read an entire book and accurately remember every detail you ask about!
The astoundingly accurate recall and comprehension exhibited by the AI model was nothing short of impressive. With this expanded memory window, ChatGPT could answer questions accurately even if asked several thousand tokens after presenting information.
ChatGPT Function Calls
Not just users like me, but developers too are caught up in the buzz around ‘steerable API models’ – another noteworthy update alongside increased context windows. Picture these as highly sophisticated self-driving cars navigating the intricate roads of language modeling with precision. This really interesting from a prompt engineering perspective.
Allowing developers to guide and control responses effectively using function calls in system messages fosters better system steerability while executing complex tasks, making it incredibly potent in improving interactions in applications powered by ChatGPT-3.5 Turbo.
ChatGPT Lower API Prices
Adding to this excitement are lowered costs for using these updated models – a testament to OpenAI’s commitment towards increased efficiency. Developers can now use these enhanced capabilities without burning a hole in their pockets, making advancements in AI technology more accessible than ever.
GPT-3.5-turbois our most popular chat model and powers ChatGPT for millions of users. Today we’re reducing the cost ofgpt-3.5-turbo’s input tokens by 25%. Developers can now use this model for just $0.0015 per 1K input tokens and $0.002 per 1K output tokens, which equates to roughly 700 pages per dollar.
GPT-3.5-turbo-16kwill be priced at $0.003 per 1K input tokens and $0.004 per 1K output tokens.
What’s Next on The Horizon for ChatGPT?
Despite these remarkable advancements, there are still challenges and open research questions about ensuring safe operation between tools and models. Potential risks are being acknowledged and addressed by OpenAI as they work towards creating a safer interaction landscape.
To wrap up our deep dive into the world of ChatGPT’s context window upgrade, we’re sitting on the precipice of an AI revolution where meaningful and contextual conversations take center stage.
With longer memory spans and improved function calls leading to interactive chat experiences that are as engaging as chatting with a friend – one who recalls everything you say – there’s no denying that we’re witnessing something truly remarkable!
