TJS Articles & News

How to Design a Mini Reinforcement Learning Environment-Acting Agent with Intelligent Local Feedback, Adaptive Decision-Making, and Multi-Agent CoordinationMarkTechPost In this tutorial, we code a mini reinforcement learning setup in which a multi-agent system learns to navigate a grid world through interaction, feedback, and layered decision-making. We build everything from scratch and bring together three agent roles: an Action Agent, a Tool Agent, and a Supervisor, so we can observe how simple heuristics, analysis,
The post How to Design a Mini Reinforcement Learning Environment-Acting Agent with Intelligent Local Feedback, Adaptive Decision-Making, and Multi-Agent Coordination appeared first on MarkTechPost.

 In this tutorial, we code a mini reinforcement learning setup in which a multi-agent system learns to navigate a grid world through interaction, feedback, and layered decision-making. We build everything from scratch and bring together three agent roles: an Action Agent, a Tool Agent, and a Supervisor, so we can observe how simple heuristics, analysis,
The post How to Design a Mini Reinforcement Learning Environment-Acting Agent with Intelligent Local Feedback, Adaptive Decision-Making, and Multi-Agent Coordination appeared first on MarkTechPost. Read More  

Moonshot AI Researchers Introduce Seer: An Online Context Learning System for Fast Synchronous Reinforcement Learning RL RolloutsMarkTechPost How do you keep reinforcement learning for large reasoning models from stalling on a few very long, very slow rollouts while GPUs sit under used? a team of researchers from Moonshot AI and Tsinghua University introduce ‘Seer’, a new online context learning system that targets a specific systems bottleneck in reinforcement learning for large language
The post Moonshot AI Researchers Introduce Seer: An Online Context Learning System for Fast Synchronous Reinforcement Learning RL Rollouts appeared first on MarkTechPost.

 How do you keep reinforcement learning for large reasoning models from stalling on a few very long, very slow rollouts while GPUs sit under used? a team of researchers from Moonshot AI and Tsinghua University introduce ‘Seer’, a new online context learning system that targets a specific systems bottleneck in reinforcement learning for large language
The post Moonshot AI Researchers Introduce Seer: An Online Context Learning System for Fast Synchronous Reinforcement Learning RL Rollouts appeared first on MarkTechPost. Read More  

Your Next ‘Large’ Language Model Might Not Be Large After AllTowards Data Science A 27M-parameter model just outperformed giants like DeepSeek R1, o3-mini, and Claude 3.7 on reasoning tasks
The post Your Next ‘Large’ Language Model Might Not Be Large After All appeared first on Towards Data Science.

 A 27M-parameter model just outperformed giants like DeepSeek R1, o3-mini, and Claude 3.7 on reasoning tasks
The post Your Next ‘Large’ Language Model Might Not Be Large After All appeared first on Towards Data Science. Read More  

Overfitting vs. Underfitting: Making Sense of the Bias-Variance Trade-OffTowards Data Science The best models live in the sweet spot: generalizing well, learning enough, but not too much
The post Overfitting vs. Underfitting: Making Sense of the Bias-Variance Trade-Off appeared first on Towards Data Science.

 The best models live in the sweet spot: generalizing well, learning enough, but not too much
The post Overfitting vs. Underfitting: Making Sense of the Bias-Variance Trade-Off appeared first on Towards Data Science. Read More  

How Wipro PARI accelerates PLC code generation using Amazon BedrockArtificial Intelligence In this post, we share how Wipro implemented advanced prompt engineering techniques, custom validation logic, and automated code rectification to streamline the development of industrial automation code at scale using Amazon Bedrock. We walk through the architecture along with the key use cases, explain core components and workflows, and share real-world results that show the transformative impact on manufacturing operations.

 In this post, we share how Wipro implemented advanced prompt engineering techniques, custom validation logic, and automated code rectification to streamline the development of industrial automation code at scale using Amazon Bedrock. We walk through the architecture along with the key use cases, explain core components and workflows, and share real-world results that show the transformative impact on manufacturing operations. Read More  

WorldGen: Meta reveals generative AI for interactive 3D worldsAI News With its WorldGen system, Meta is shifting the use of generative AI for 3D worlds from creating static imagery to fully interactive assets. The main bottleneck in creating immersive spatial computing experiences – whether for consumer gaming, industrial digital twins, or employee training simulations – has long been the labour-intensive nature of 3D modelling. The
The post WorldGen: Meta reveals generative AI for interactive 3D worlds appeared first on AI News.

 With its WorldGen system, Meta is shifting the use of generative AI for 3D worlds from creating static imagery to fully interactive assets. The main bottleneck in creating immersive spatial computing experiences – whether for consumer gaming, industrial digital twins, or employee training simulations – has long been the labour-intensive nature of 3D modelling. The
The post WorldGen: Meta reveals generative AI for interactive 3D worlds appeared first on AI News. Read More  

Natural Language Visualization and the Future of Data Analysis and PresentationTowards Data Science Will conversational interaction replace SQL queries, KPI reports, and dashboards?
The post Natural Language Visualization and the Future of Data Analysis and Presentation appeared first on Towards Data Science.

 Will conversational interaction replace SQL queries, KPI reports, and dashboards?
The post Natural Language Visualization and the Future of Data Analysis and Presentation appeared first on Towards Data Science. Read More