Summary: The advent of artificial intelligence (AI) has birthed a plethora of concerns and speculations, especially concerning employment. But history has shown that technology doesn’t necessarily obliterate jobs—instead, it creates new ones. In this post, we delve into how the ascendancy of AI is presenting new job opportunities for humans. We take a deep dive into roles like In-House Large Language Model Developers, Reskillers, AI Psychotherapists, and Prompt Engineers, showing how these nascent occupations can be advantageous for both individuals and industries.
In-House Large Language Model Developer: Bridging AI and Industry Specialization
There’s no denying the increasing potency and presence of large language models such as OpenAI’s GPT and Google’s LaMDA in our current reality. These models’ main strength lies in their ability to generate, recognize, and predict language sequences. But here’s a snag: they often fall short when it comes to industry-specific expertise. That’s where In-House Large Language Model Developers come in. Filling this critical gap in competence, they provide specialized instructions to AI setups.
For instance, consider the finance sector. Companies are now developing large models and turning to in-house developers for model modifications specific to their needs. The process involves intoducing these models to specialized language patterns, and training them to handle industry-specific tasks like summarizing annual reports or guiding clients through loan applications. The challenge lies in finding qualified personnel who can design the tailored curriculum needed for model training, and package these models in forms accessible to both employees and clients.
The role of such developers is pivotal in unlocking the true potential of large language models, turning them into invaluable assets across various industries.
Reskiller: Equipping Humans to Stay Ahead of AI
As we see AI technology advancing and assuming tasks traditionally performed by humans, there’s a need to upgrade human skills to stay relevant – enter the “reskiller.” This new breed of educators helps individuals stay a step ahead of machines. Reskillers must understand the skills organizations will need as technology progresses, and instruct individuals on developing these skills.
Here’s an interesting example: professionals in sales are learning web development; marketers are picking up graphic design chops, and human resources personnel are taking on legal tasks using AI legal tools. Reskillers lead individuals through such transitions, ensuring they are well equipped to excel in the AI era.
AI Psychotherapist: Unravelling AI Decision-Making Processes
As AI becomes increasingly integrated into decision-making processes, especially in fields like finance, understanding the rationale behind an AI model’s decision becomes crucial. Enter AI Psychotherapists. They play a significant role in revealift the motivating factors behind AI decisions, and ensuring the absence of biases or errors in training data.
The field is adopting what IBM Software SVP of Products, Dinesh Nirmal, terms as “explainability” in enterprise AI. It involves putting AI models to the test by asking probing questions and evaluating model training data for potential biases or errors. Humans, not machines, bear the ultimate responsibility for the outcomes of AI systems, making the role of AI psychotherapists (alternatively AI risk managers/controllers) all the more vital. They ensure AI models are mentally fit for assigned tasks.
Prompt Engineer: Guiding AI in Human Language Understanding
AI systems, like the GPT series from OpenAI, often need explicit instructions in human language to perform tasks. Prompt Engineers bridge the gap between programming and management by instructing these AI systems in plain English. They pioneer new ways to harness AI power by providing clear and precise instructions. A core example of this role can be found at legal software maker Casetext, where Prompt Engineers are helping construct their AI assistant, CoCounsel, directing the AI chatbot on legal tasks using clear and precise language.
Even though a solid understanding of coding fundamentals is required, the most salient skill for a Prompt Engineer is the ability to give clear and precise instructions. They function somewhat like technical managers but with direct responsibilities for the AI system.
Embracing the Possibilities: The Future of Humans and AI
Like all new technologies, AI brings a mix of challenges and opportunities. Sure, there are concerns about job displacements, but the AI era also opens up a vast landscape of exciting career possibilities such as In-House Large Language Model Developers, Reskillers, AI Psychotherapists, and Prompt Engineers. We’re looking at emerging jobs geared towards bridging the gap between humans and AI.
The key to navigating this landscape lies in embracing these opportunities and acquiring the skills necessary to thrive in an AI-driven world. It’s not just about humans versus machines; it’s about humans collaborating with machines. By comprehending the intricacies of AI and its possible applications, individuals and industries can harness its power, fostering innovation and success.
Through this exploration of AI-generated job opportunities, my goal is to inspire you to dream vast, reassure you that past setbacks are not indicative of future successes, address your fears about job security, confirm any suspicions you may have about the rise of AI, and empathize with your struggles to stay ahead of rapid technological advancements. AI is here to stay. The power lies in our hands to harness it, understand it, and carve out successful futures for ourselves with it.
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