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πŸ€–πŸ§  AgentFly: The Future of Reinforcement Learning for Intelligent Language Model Agents

πŸ—“οΈ 22 Oct 2025
πŸ“š AI News & Trends

AgentFly is a cutting-edge framework developed by researchers at the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) to revolutionize how large language models (LLMs) learn and act. It combines the power of reinforcement learning (RL) with language model agents enabling them to go beyond static prompt responses and learn through real-time feedback and experience. ...

#ReinforcementLearning #LLMs #LanguageModelAgents #ArtificialIntelligence #AgentFly #AIFramework
πŸ“Œ Federated Learning and Custom Aggregation Schemes

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-10-22 | ⏱️ Read time: 10 min read

A practical guide to designing and analyzing robust aggregation strategies
πŸ€–πŸ§  OpenSearch for AI Agents: Empowering Intelligent Search and Automation

πŸ—“οΈ 22 Oct 2025
πŸ“š AI News & Trends

As artificial intelligence (AI) continues to evolve, one of the most transformative shifts has been the rise of AI agents – autonomous systems capable of reasoning, interacting, and performing complex tasks. From customer support chatbots to autonomous data analysts, these agents rely heavily on efficient data retrieval mechanisms. However, traditional search systems often struggle to ...

#OpenSearch #AIAgents #IntelligentSearch #AIautomation #ArtificialIntelligence #DataRetrieval
πŸ“Œ Implementing DRIFT Search with Neo4j and LlamaIndex

πŸ—‚ Category: LLM APPLICATIONS

πŸ•’ Date: 2025-10-22 | ⏱️ Read time: 10 min read

Combining global and local search to get the most accurate response
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πŸ“Œ Is RAG Dead? The Rise of Context Engineering and Semantic Layers for Agentic AI

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-10-21 | ⏱️ Read time: 18 min read

Context engineering, semantic layers, and the evolution of retrieval for agentic AI
πŸ“Œ Hidden Gems in NumPy: 7 Functions Every Data Scientist Should Know

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-10-21 | ⏱️ Read time: 9 min read

I’ve been learning data analytics for a year now. So far, I can consider myself…
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πŸ€–πŸ§  LangGraph by LangChain-AI: The Framework Powering Stateful, Long-Running AI Agents

πŸ—“οΈ 23 Oct 2025
πŸ“š AI News & Trends

As artificial intelligence continues to reshape industries, one major challenge remains building reliable, stateful and long-running AI agents that can handle complex workflows over time. Traditional AI frameworks often focus on short interactions, lacking the infrastructure to manage persistent states, durable memory or human feedback loops. That’s where LangGraph from LangChain-AI steps in. Trusted by ...

#LangGraph #LangChainAI #AIAgents #StatefulAI #LongRunningAgents #ArtificialIntelligence
πŸ€–πŸ§  Master Machine Learning: Explore the Ultimate β€œMachine-Learning-Tutorials” Repository

πŸ—“οΈ 23 Oct 2025
πŸ“š AI News & Trends

In today’s data-driven world, Machine Learning (ML) has become the cornerstone of modern technology from intelligent chatbots to predictive analytics and recommendation systems. However, mastering ML isn’t just about coding, it requires a structured understanding of algorithms, statistics, optimization techniques and real-world problem-solving. That’s where Ujjwal Karn’s Machine-Learning-Tutorials GitHub repository stands out. This open-source, topic-wise ...

#MachineLearning #MLTutorials #ArtificialIntelligence #DataScience #OpenSource #AIEducation
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πŸ“Œ Things I Learned by Participating in GenAI Hackathons Over the Past 6 Months

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-10-20 | ⏱️ Read time: 10 min read

Sharing my two cents from the building in public journey so far
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πŸ“Œ Docling: The Document Alchemist

πŸ—‚ Category: NATURAL LANGUAGE PROCESSING

πŸ•’ Date: 2025-09-12 | ⏱️ Read time: 13 min read

Why do we still wrestle with documents in 2025? Spend some time in any data-driven organisation,…
πŸ“Œ If we use AI to do our work – what is our job, then?

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-09-12 | ⏱️ Read time: 5 min read

Images. Text. Audio. There’s no modality that is not handled by AI. And AI systems…
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πŸ“Œ Generalists Can Also Dig Deep

πŸ—‚ Category: AUTHOR SPOTLIGHTS

πŸ•’ Date: 2025-09-12 | ⏱️ Read time: 6 min read

Ida SilfverskiΓΆld on AI agents, RAG, evals, and what design choice ended up mattering more…
πŸ“Œ A Focused Approach to Learning SQL

πŸ—‚ Category: SPONSORED CONTENT

πŸ•’ Date: 2025-09-12 | ⏱️ Read time: 9 min read

Data is everywhere, but how do you draw insights from it? Often, structured data is…
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πŸ“Œ Why Context Is the New Currency in AI: From RAG to Context Engineering

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-09-11 | ⏱️ Read time: 12 min read

Context, not computation, is the real currency of intelligent systems
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πŸ€–πŸ§  LangChain: The Ultimate Framework for Building Reliable AI Agents and LLM Applications

πŸ—“οΈ 24 Oct 2025
πŸ“š AI News & Trends

As artificial intelligence continues to transform industries, developers are racing to build smarter, more adaptive applications powered by Large Language Models (LLMs). Yet, one major challenge remains how to make these models interact intelligently with real-world data and external systems in a scalable, reliable way. Enter LangChain, an open-source framework designed to make LLM-powered application ...

#LangChain #AI #LLM #ArtificialIntelligence #OpenSource #AIAgents
πŸ“Œ How to Analyze and Optimize Your LLMs in 3 Steps

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-09-11 | ⏱️ Read time: 9 min read

Learn to enhance your LLMs with my 3 step process, inspecting, improving and iterating on…
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2025/10/24 16:22:55
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