<p>Months after ChatGPT launched, I still could not have told you what a token was. I had been using it since the first public launch and was basically having novel-long
<!-- SC_OFF --><div class="md"><p>I need to create an analysis of how many tokens it takes for various type of agents - single to multi agent, simple to complex ones. Is there any
<!-- SC_OFF --><div class="md"><p><a href="https://youtu.be/-0HRzXk8vlk?si=mLADk5b_dT9yxNiv">https://youtu.be/-0HRzXk8vlk?si=mLADk5b_dT9yxNiv</a></p> </div><!-- SC_ON -->  
<!-- SC_OFF --><div class="md"><p>My app fans out prompts to multiple LLMs as the first step. I’m shocked to see that the token count returned by the API‘s is often 10 X what
<!-- SC_OFF --><div class="md"><p>We're obsessed with raw tokens per second. Every hardware post leads with it. Every quantization comparison is ranked by it. It's the one number
<!-- SC_OFF --><div class="md"><p>Not much else than the title itself.</p> <p>​</p> <p>I believe tokens are a much more useful measure of work and wealth in an AI driven
<!-- SC_OFF --><div class="md"><p>Most people describe GPT systems as “predicting tokens.”</p> <p>That is true, but I think it is incomplete.</p> <p>A token is usually treated as
<table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1v5q5wj/the_voice_chat_mode_consumes_more_tokens/"> <img alt="The voice chat mode consumes more tokens?"
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