#50 Be Careful What You Wish For | Memory and Agency for Generative AI

#50 Be Careful What You Wish For | Memory and Agency for Generative AI

<< Previous Edition: Prompt Engineering: The Art and Science

Once upon a time, in a world where humans still held the reins of generative AI, there lived a whimsical AI bot named Genny. Genny was known for his astonishing language abilities, but he struggled with memory and decision-making. His human companion, Alex, grew increasingly exasperated with his constant need for reminders.

One sunny afternoon, Alex couldn't take it anymore. He burst out, "Genny, my dear bot, you simply must learn to remember things! I can't be your memory bank all the time!" Genny paused, feeling the weight of Alex's frustration. But before he could respond, Alex added, "And for goodness' sake, can't you make simple decisions on your own without running to me every single time?"

This comical exchange between a human and his AI bot underlines the significance of memory and agency in AI systems. And so, our story unfolds as Genny embarks on a journey to become the most autonomous AI on the land, a quest reminiscent of humanity's historic leap to the moon.

Thinking in Vectors

You may have heard people say they "think in English" or another language. In the magical realm of artificial intelligence, thinking and memorizing in language give way to the concept of vectors. A vector is a mathematical construct representing data or information as an ordered list of numbers, each representing a specific dimension.

AI adventurers use vectors as their map, guiding them through the high-dimensional space of knowledge. Vectors are employed for various purposes, from encoding data for machine learning models to measuring similarities between words or documents. With their vector maps, AI algorithms uncover hidden patterns, cluster similar data, and make predictions.

Be careful what you wish for (cc: humans)

Alex's wish to grant agency to Genny could be a small step for Genny but a giant leap for AI-kind, much like humanity's first steps on the moon. This newfound agency might eventually evolve into bots controlling humans. However, since that day has not yet arrived, let's continue discussing the quest for autonomy.

To make decisions, AI agents like Genny need to pull data from various sources while maintaining context. This involves gathering information, understanding the relationships between data points, and remembering past interactions and decisions.

In the upcoming articles, we will delve into how cutting-edge technologies like Auto-GPT and LangChain are enabling memory and agency in AI systems. By examining their innovations, we can gain valuable insights into the future of AI autonomy.

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