It 8217 S More. The LLM marketing scheme is a brilliant example of a tried and true Silicon Valley marketing strategy – the use of Fear, Uncertainty, and Doubt (FUD) to create a buzz around a new technology.
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The Simplicity of the LLM Scheme
It’s simple: for worker bees, the pitch is that they will lose their jobs unless they learn to use Large Language Models (LLMs). For CEOs and owners, the warning is that they will lose their companies unless they deploy LLMs. And it’s all focused on an AI parlor trick – Autocomplete on steroids.
But is this really a sophisticated AI technology, or is it just a clever marketing ploy? In reality, LLMs are just a subset of one of the families of AI techniques.
The Branches of AI
Here are the major branches of AI, ordered from most probabilistic to most deterministic:
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Reinforcement Learning: Highly stochastic as agents explore random actions and learn through trial-and-error in uncertain environments with delayed rewards. The system learns optimal behavior by receiving rewards or penalties for actions taken in an environment, gradually improving its decision-making through experience.
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Deep Learning: Neural networks with random weight initialization, stochastic gradient descent, and techniques like dropout create inherent randomness in training and sometimes inference. It uses multi-layered artificial neural networks to automatically learn complex patterns and representations from large amounts of data.
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Machine Learning (General): Particularly unsupervised learning methods that discover hidden patterns, plus the inherent randomness in many ML algorithms and data sampling. Systems automatically improve their performance on specific tasks through experience by finding patterns in data without being explicitly programmed for every scenario.
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Natural Language Processing (NLP): Deals with the inherent ambiguity and context-dependency of human language, often using probabilistic models. It enables computers to understand, interpret, and generate human language by analyzing text structure, meaning, and context. Large Language Models are a type of NLP.
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Computer Vision: Processes noisy, variable real-world visual data with lighting changes, occlusions, and environmental factors creating uncertainty. It enables machines to interpret and understand visual information from images and videos, identifying objects, faces, scenes, and activities.
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Multi-agent Systems: Multiple AI agents interacting can produce emergent and unpredictable collective behaviors even when individual agents are deterministic. It studies how multiple autonomous AI systems can coordinate, communicate, and collaborate to solve problems that are beyond individual agent capabilities.
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Robotics: Operates in uncertain physical environments with sensor noise, mechanical variations, and unpredictable external factors. It combines AI with mechanical engineering to create physical machines that can perceive their environment and perform tasks in the real world.
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Planning and Search: While some algorithms are deterministic, many use heuristics, approximations, and deal with incomplete information about problem states. These algorithms systematically explore possible sequences of actions to find optimal solutions to complex problems with defined goals.
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Knowledge Representation and Reasoning: Can involve probabilistic reasoning and uncertainty handling, though formal logic components are deterministic. It focuses on how to structure and store information about the world so computers can use logical rules to derive new conclusions and solve problems.
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Expert Systems: Primarily rule-based with deterministic logic, though may incorporate uncertainty factors and probabilistic reasoning. They capture the knowledge and decision-making processes of human experts in specific domains using if-then rules to solve problems and provide recommendations.
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Robotic Process Automation (RPA): Follows strictly defined rules and workflows to automate repetitive tasks, operating deterministically according to programmed procedures. It uses software robots to mimic human actions in digital systems, automatically performing routine tasks like data entry, form processing, and system integration.
The LLM marketing scheme is not a simple AI parlor trick, but a sophisticated campaign that leverages FUD to create a buzz around a new technology. By understanding the different branches of AI, we can make informed decisions about whether to adopt these technologies and how they can be used to drive business success.
For more information on this topic, check out the LLM marketing scheme and how it’s being used to drive business success.
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