Machine Learning – Telegram
Machine Learning
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Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.

Admin: @HusseinSheikho || @Hussein_Sheikho
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🤖🧠 Enhancing AI Agent Capabilities with Glean Agent Toolkit: A Complete Guide for Developers

🗓️ 22 Oct 2025
📚 AI News & Trends

The evolution of AI agents has transformed how businesses manage knowledge, automate workflows and deliver intelligent support. However, one major challenge remains how to effectively connect these AI agents to enterprise data and productivity tools. This is where the Glean Agent Toolkit steps in. Developed by Glean, a leader in enterprise knowledge discovery, this open-source ...

#AIAgents #GleanAgentToolkit #EnterpriseAI #ArtificialIntelligence #DeveloperTools #KnowledgeDiscovery
🤖🧠 The Ultimate #1 Collection of AI Books In Awesome-AI-Books Repository

🗓️ 22 Oct 2025
📚 AI News & Trends

Artificial Intelligence (AI) has emerged as one of the most transformative technologies of the 21st century. From powering self-driving cars to enabling advanced conversational AI like ChatGPT, AI is redefining how humans interact with machines. However, mastering AI requires a strong foundation in theory, mathematics, programming and hands-on experimentation. For enthusiasts, students and professionals seeking ...

#ArtificialIntelligence #AIBooks #MachineLearning #DeepLearning #AIResources #TechBooks
🤖🧠 LandingAI ADE Python SDK: Streamlining AI-Powered Document Understanding

🗓️ 22 Oct 2025
📚 AI News & Trends

In the age of AI automation, extracting structured data from documents has become a key part of many business workflows. From invoices and contracts to identity documents and research papers, organizations are relying on AI models to interpret and process information accurately. LandingAI’s ADE Python SDK – an official API client for the LandingAI ADE ...

#AIPowered #DocumentUnderstanding #LandingAI #ADEPythonSDK #AIAutomation #DataExtraction
📌 Scaling Recommender Transformers to a Billion Parameters

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-10-21 | ⏱️ Read time: 35 min read

How to implement a new generation of transformer recommenders
📌 Why Should We Bother with Quantum Computing in ML?

🗂 Category: QUANTUM COMPUTING

🕒 Date: 2025-10-22 | ⏱️ Read time: 16 min read

Quantum Machine Learning principles
🤖🧠 Unlocking Creativity with Awesome ChatGPT Prompts: The Ultimate Guide for AI Enthusiasts

🗓️ 22 Oct 2025
📚 AI News & Trends

Artificial Intelligence has transformed how we create, communicate, and innovate and at the heart of this revolution lies prompt engineering. One of the most powerful tools in this domain is the “Awesome ChatGPT Prompts” repository – a growing collection of creative, technical and professional prompts designed for ChatGPT and other large language models like Claude, ...

#ChatGPT #PromptEngineering #AIEnthusiasts #ArtificialIntelligence #LargeLanguageModels #AICreativity
🤖🧠 AgentFly: The Future of Reinforcement Learning for Intelligent Language Model Agents

🗓️ 22 Oct 2025
📚 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
📌 Federated Learning and Custom Aggregation Schemes

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-10-22 | ⏱️ Read time: 10 min read

A practical guide to designing and analyzing robust aggregation strategies
🤖🧠 OpenSearch for AI Agents: Empowering Intelligent Search and Automation

🗓️ 22 Oct 2025
📚 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
📌 Implementing DRIFT Search with Neo4j and LlamaIndex

🗂 Category: LLM APPLICATIONS

🕒 Date: 2025-10-22 | ⏱️ Read time: 10 min read

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

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-10-21 | ⏱️ Read time: 18 min read

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

🗂 Category: DATA SCIENCE

🕒 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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🤖🧠 LangGraph by LangChain-AI: The Framework Powering Stateful, Long-Running AI Agents

🗓️ 23 Oct 2025
📚 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
🤖🧠 Master Machine Learning: Explore the Ultimate “Machine-Learning-Tutorials” Repository

🗓️ 23 Oct 2025
📚 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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📌 Things I Learned by Participating in GenAI Hackathons Over the Past 6 Months

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 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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📌 Docling: The Document Alchemist

🗂 Category: NATURAL LANGUAGE PROCESSING

🕒 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,…
📌 If we use AI to do our work – what is our job, then?

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 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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📌 Generalists Can Also Dig Deep

🗂 Category: AUTHOR SPOTLIGHTS

🕒 Date: 2025-09-12 | ⏱️ Read time: 6 min read

Ida Silfverskiöld on AI agents, RAG, evals, and what design choice ended up mattering more…
📌 A Focused Approach to Learning SQL

🗂 Category: SPONSORED CONTENT

🕒 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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📌 Why Context Is the New Currency in AI: From RAG to Context Engineering

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-09-11 | ⏱️ Read time: 12 min read

Context, not computation, is the real currency of intelligent systems
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