Search Results
9 results for “reasoning”
Agentic AI
Agentic AI refers to artificial intelligence systems designed to pursue goals autonomously over extended time horizons by perceiving their environment, reasoning about actions, executing multi-step plans, and learning from outcomes without requiring continuous human instruction.
AI Planning
AI planning is the discipline of automatically generating a sequence of actions that an intelligent agent can execute to move from an initial state to a goal, increasingly used inside LLM-based agents to decompose and reason about complex tasks.
Artificial Intelligence
Artificial intelligence (AI) is the simulation of human intelligence processes by computer systems, encompassing learning, reasoning, problem-solving, perception, and language understanding.
Autonomous Agents
Autonomous AI agents are software systems that use large language models as a reasoning core, enabling them to plan multi-step tasks, use external tools, maintain memory, and take actions to achieve goals with minimal human intervention.
Bayesian Inference
Bayesian inference is a statistical method that uses Bayes' theorem to update the probability of a hypothesis as new evidence becomes available, providing a principled framework for reasoning under uncertainty.
Chain-of-Thought Prompting
A prompt engineering technique that improves large language model reasoning on complex tasks by instructing the model to generate explicit intermediate reasoning steps before arriving at a final answer.
Grok
Grok is a series of large language models developed by xAI, Elon Musk's AI company, featuring real-time web integration, advanced reasoning modes, and deep tool-use capabilities.
Phi (Language Model)
A family of small language models developed by Microsoft Research that demonstrate strong reasoning and instruction-following at parameter counts an order of magnitude smaller than typical frontier models.
Qwen
Qwen is a family of large language models developed by Alibaba Cloud, ranging from small open-weight dense models to trillion-parameter mixture-of-experts systems, with strong multilingual and reasoning capabilities.