Personal and professional history might not repeat, but it certainly rhymes. I’m thrilled to join the team at HumanFirst, and reconnect with a team of founders I not only trust, but deeply admire.
The skill of Prompt Engineering has been touted as the ultimate skill of the future. But, will prompt engineering be around in the near future? In this article I attempt to decompose how the future LLM interface might look like…considering it will be conversational.
Personal and professional history might not repeat, but it certainly rhymes. I’m thrilled to join the team at HumanFirst, and reconnect with a team of founders I not only trust, but deeply admire.
This research produced a list of occupations and their level of exposure with the advent of LLMs and Generative AI.
LLMs on their own is impactful, but there has been an explosion of LLM-powered software, also referred to as Generative Apps. This explosion is being fuelled by the advent of LLM specific IDEs like Stack, Flowise, LangFlow and more.
Considering this proliferation of real-world implementations, OpenAI found that:
80% of the U.S. workforce can have > 10%of their work tasks affected by LLMs.
While 19% of workers will have > 50% of their tasks impacted.
And 15% of all worker tasks in the US could be expedited considerably.
LLM-powered software will have a substantial effect on scaling the economic impacts of the underlying models.
OpenAI estimate that GPTs and GPT-powered software are able to save workers a significant amount of time completing a large share of their tasks, but it does not necessarily suggest that their tasks can be fully automated by these technologies.
In closing, it has been estimated by human assessments that only 3% of U.S. workers would have half or more of their tasks exposed to LLMs without installing any more software or modalities.
However, taking into account other generative models and complementary technologies, it is estimated that up to 49% of workers may have half or more of their tasks exposed to LLMs.
I’m currently the Chief Evangelist @ HumanFirst. I explore and write about all things at the intersection of AI and language; ranging from LLMs, Chatbots, Voicebots, Development Frameworks, Data-Centric latent spaces and more.
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