Context:
Enterprises globally are adopting Large Action Models (LAMs) that understand complex goals communicated with natural language, and they follow up with autonomous actions to achieve them.
Relevance:
GS III: Science and Technology
Dimensions of the Article:
- About Large Action Models (LAMs)
- What are Large Language Models (LLMs)?
About Large Action Models (LAMs):
- Advanced AI Models:
- LAMs represent sophisticated Artificial Intelligence models.
- Complex Task Execution:
- These models are crafted to understand and execute intricate tasks based on user requirements.
- Combination of Language and Logic:
- Unlike Large Language Models (LLMs), LAMs integrate language comprehension with logical reasoning to carry out various tasks.
- Learning from Data:
- LAMs utilize extensive datasets of user action information, leveraging this data for strategic planning and proactive real-time actions.
- Advanced Machine Learning Techniques:
- These models employ cutting-edge machine learning methods, including deep learning and reinforcement learning, enabling them to learn from vast datasets and enhance their decision-making abilities over time.
- Predictive Analysis:
- By examining past and present actions, LAMs can make informed predictions about future outcomes, aiding in planning, strategy, and real-time decision-making in complex environments.
- Wide Application:
- LAMs have applications across diverse fields such as personal assistants, autonomous vehicles, robotics, healthcare, and financial modeling.
What are Large Language Models (LLMs)?
- AI Programs:
- LLMs are a type of AI program that can recognize and generate text, among other functions.
- Extensive Training:
- They are trained on enormous datasets, which is why they are termed “large.”
- Deep Learning:
- LLMs utilize deep learning, a machine learning technique, to understand how characters, words, and sentences work together.
- Contextual Understanding:
- These models can infer context, generate coherent and relevant responses, translate into multiple languages, summarize text, answer questions, and assist in creative writing or code generation tasks.
-Source: Indian Express
