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AI in Marketing: Applications, Content and Measurement

November 2, 2026

AI for business

Use AI in marketing for content, segmentation, leads and campaigns. Approval workflows, practical examples, costs and business measurement explained.

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Types of AI Agents: Architectures and Business Autonomy

November 2, 2026

AI for business

Understand reflex, stateful, goal-based, utility-based and learning agents. LLM architectures, multi-agent systems, MCP, A2A and business approvals.

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Generative, Discriminative and Predictive AI: Business Differences

November 2, 2026

AI for business

Compare generative AI, discriminative models and predictions. Business examples, diagrams, data requirements and evaluation for generation and estimation.

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Small Language Models (SLMs): When to Choose Them Over LLMs

November 2, 2026

AI for business

Choose a small language model by task, memory, latency, hosting and total operating cost. Practical SLM vs LLM examples, diagrams and evaluation criteria.

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RAG, Fine-Tuning or Prompt Engineering: How to Choose

November 1, 2026

AI for business

Choose prompt engineering, RAG or fine-tuning by data needs, behaviour, evaluation and operating cost. Practical diagrams and examples for business AI.

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Natural Language Processing (NLP) for Business

November 1, 2026

AI for business

How NLP turns business emails and documents into useful data. Explore classification, extraction, search and summarisation with practical diagrams and evaluation.

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AI Context Window: What It Is and How It Shapes Applications

November 1, 2026

AI for business

Understand AI context windows, document and response budgets, memory, RAG and compaction. Practical diagrams and tests for reliable business applications.

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DeepSeek Harness team releases an AI agent prototype for GitHub tasks

November 1, 2026

AI News

The dsh-superagent research prototype coordinates authorized GitHub tasks, separate work sessions and reviewable results. Its public code is MIT-licensed.

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AI Tokens: What They Are, Costs and Application Limits

November 1, 2026

AI for business

Understand AI tokens, input and output costs, caching, context windows and API limits. Practical calculations, diagrams and controls for business applications.

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What Is an LLM? How Large Language Models Work

November 1, 2026

AI for business

What is an LLM and how does it work? Understand tokens, training, context, document retrieval and tools through diagrams and practical business examples.

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AI vs Machine Learning vs Deep Learning: Key Differences

November 1, 2026

AI for business

AI, machine learning and deep learning explained through clear diagrams, business examples and practical criteria for choosing the right approach.

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Types of Artificial Intelligence: A Practical Business Guide

November 1, 2026

AI for business

Understand machine learning, generative AI, LLMs and AI agents. Clear classifications, diagrams and business examples for choosing an AI application.

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