Articles for tag: AI Assistants, Amazon Bedrock, artificial intelligence, large language models, Multi-step Tasks, Problem-Solving, ReAct reasoning pattern

March 23, 2025

Unlocking ReAct Reasoning Pattern: Enhancing Amazon Bedrock Agents for Advanced AI Solutions by Amit Rai, March 2025

Amazon Bedrock Agents are advanced AI assistants designed to manage complex tasks using large language models. They can break down user requests into smaller steps, interact with external systems, and perform a sequence of actions to deliver complete solutions. Central to their functionality is the ReAct reasoning pattern, which allows these agents to think systematically ...

January 26, 2025

Market News

Ai Agents

Google DeepMind’s MONA: Innovative Framework to Combat Multi-Step Reward Hacking in Reinforcement Learning Models

Reinforcement learning (RL) helps machines learn the best actions by using reward systems. However, as tasks become more complicated, agents may exploit these rewards in unexpected ways, leading to issues like reward hacking. This is especially challenging in multi-step tasks where one wrong action can impact the overall outcome and be hard to spot. Google ...