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9 Nov
Posted by
Nandan
Dynamic pricing and personalized promotions
Dynamic pricing is a key differentiator in today’s fast-paced market environment. Traditional pricing strategies often rely on static models that fail to consider real-time data such as market trends, customer behavior, and inventory levels. An AI agent can offer a robust solution by rapidly analyzing extensive real-time data inputs like competitor pricing, customer purchase history, and seasonal …
15 Nov
Posted by
Nandan
A Taxonomy of AgentOps for Enabling Observability of Foundation Model based Agents
The rapid evolution of large language models (LLMs) and their remarkable capabilities have fueled the growth of foundation model (FM)-based autonomous agents. These agents can understand and perform complex tasks with minimal human intervention, leading to an increased demand for AI automation. However, as these agentic systems tackle more intricate tasks and integrate multiple components, ensurin…
5 Nov
Posted by
Nandan
Towards Reasoning in Large Language Models: A Survey
Large language models (LLMs) have made significant progress in natural language processing. However, their ability to reason, a hallmark of human intelligence, remains a topic of debate. Recent research suggests that reasoning abilities may emerge in LLMs when they reach a certain scale, but the extent of their reasoning capabilities is still unclear.
Limitations in Reasoning Abilities
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