Data Science | Machine Learning with Python for Researchers
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πŸ€–πŸ§  DeepEval: The Ultimate LLM Evaluation Framework for AI Developers

πŸ—“οΈ 07 Oct 2025
πŸ“š AI News & Trends

In today’s AI-driven world, large language models (LLMs) have become central to modern applications from chatbots to intelligent AI agents. However, ensuring the accuracy, reliability and safety of these models is a significant challenge. Even small errors, biases or hallucinations can result in misleading information, frustrated users or business setbacks. This is where DeepEval, an ...

#DeepEval #LLM #AIDevelopment #LanguageModels #ModelEvaluation #ArtificialIntelligence
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✨AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications

πŸ“ Summary:
AgentScope 1.0 is a developer-centric framework for building agentic applications. It offers flexible tool-based interactions, unified interfaces, and ReAct-based infrastructure to enable efficient and safe development and deployment.

πŸ”Ή Publication Date: Published on Aug 22

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2508.16279
β€’ PDF: https://arxiv.org/pdf/2508.16279
β€’ Github: https://github.com/agentscope-ai/agentscope

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#AIAgents #AIdevelopment #SoftwareFramework #AItools #ReActAI
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πŸ€–πŸ§  Pixeltable: The Future of Declarative Data Infrastructure for Multimodal AI Workloads

πŸ—“οΈ 08 Nov 2025
πŸ“š AI News & Trends

In the rapidly evolving AI landscape, building intelligent applications is no longer just about having powerful models. The real challenge lies in handling complex data pipelines, integrating multiple systems and scaling multimodal workloads efficiently. Traditional AI app development stacks involve databases, vector stores, ETL pipelines, model serving layers, orchestration tools, caching systems and lineage tracking ...

#Pixeltable #DeclarativeDataInfrastructure #MultimodalAI #AIDevelopment #DataPipelines #AIWorkloads