--- title: "#generative articles | Hashnode" description: "Explore 16 articles tagged #generative on Hashnode. Tutorials, guides, and how-tos from the community." url: "https://hashnode.com/tag/generative" --- Tag # #generative 16 posts · 8 followers [Harsh Prajapati](https://hashnode.com/@iamharsh) · [Jul 19](https://hashnode.com/posts/where-rag-fails/6a5d086278ee7d04af52894b) ### [Where RAG Fails: Understanding the Limitations](https://harsh-prajapati.hashnode.dev/where-rag-fails?utm_source=hashnode&utm_medium=feed) RAG makes LLMs smarter, but it isn't magic. Here's where it breaks 11 min read · [harsh-prajapati.hashnode.dev](https://harsh-prajapati.hashnode.dev/where-rag-fails?utm_source=hashnode&utm_medium=feed) [1](https://hashnode.com/posts/where-rag-fails/6a5d086278ee7d04af52894b) [Berkan Sesen](https://hashnode.com/@berkansesen) · [Mar 31](https://hashnode.com/posts/hidden-markov-models-when-clusters-have-memory/69cb6362b59631ef53faaaef) ### [Hidden Markov Models: When Clusters Have Memory](https://sesenai.hashnode.dev/hidden-markov-models-when-clusters-have-memory?utm_source=hashnode&utm_medium=feed) Learn Hidden Markov Models through the weather-umbrella analogy. Implement the Forward and Viterbi algorithms from scratch, then detect stock market regimes and compare HMMs with K-Means. 15 min read · [sesenai.hashnode.dev](https://sesenai.hashnode.dev/hidden-markov-models-when-clusters-have-memory?utm_source=hashnode&utm_medium=feed) [Berkan Sesen](https://hashnode.com/@berkansesen) · [Mar 28](https://hashnode.com/posts/gaussian-mixture-models-the-em-algorithm-in-practice/69c7a3297cf2706510f1f7a7) ### [Gaussian Mixture Models: The EM Algorithm in Practice](https://sesenai.hashnode.dev/gaussian-mixture-models-the-em-algorithm-in-practice?utm_source=hashnode&utm_medium=feed) Implement Gaussian Mixture Models from scratch using the EM algorithm. Cluster Old Faithful geyser eruptions and understand responsibilities, convergence, and model selection. 13 min read · [sesenai.hashnode.dev](https://sesenai.hashnode.dev/gaussian-mixture-models-the-em-algorithm-in-practice?utm_source=hashnode&utm_medium=feed) [Aditya Gupta](https://hashnode.com/@adiyogiarts) · [Mar 28](https://hashnode.com/posts/understanding-generative-model-collapse-in-llms/69c76d0834bfea852852443a) ### [Understanding Generative Model Collapse in LLMs](https://adiyogiarts.hashnode.dev/understanding-generative-model-collapse-in-llms?utm_source=hashnode&utm_medium=feed) Prevent LLM pre-training collapse with synthetic data pipelines. 7 min read · [adiyogiarts.hashnode.dev](https://adiyogiarts.hashnode.dev/understanding-generative-model-collapse-in-llms?utm_source=hashnode&utm_medium=feed) [Sreekar Reddy](https://hashnode.com/@esreekarreddy) · [Mar 12](https://hashnode.com/posts/diffusion-models-eli5-mmo1hq8m/69b33e14cf1d0ab4c61ab2ef) ### [🌫️ Diffusion Models Explained Like You're 5](https://esreekarreddy.hashnode.dev/diffusion-models-eli5-mmo1hq8m?utm_source=hashnode&utm_medium=feed) Creating images by removing noise step by step Day 77 of 149 👉 Full deep-dive with code examples The Noise Removal Analogy Imagine a magic trick: Forward: Slowly add static noise to a photo until it's pure noise Backward: Learn to reverse the proce... 2 min read · [esreekarreddy.hashnode.dev](https://esreekarreddy.hashnode.dev/diffusion-models-eli5-mmo1hq8m?utm_source=hashnode&utm_medium=feed) [Sreekar Reddy](https://hashnode.com/@esreekarreddy) · [Mar 11](https://hashnode.com/posts/gan-eli5-mmmm301q/69b1ecc99ac1ac7ebb8e26fd) ### [🎨 GAN Explained Like You're 5](https://esreekarreddy.hashnode.dev/gan-eli5-mmmm301q?utm_source=hashnode&utm_medium=feed) Two networks competing to create realistic content Day 76 of 149 👉 Full deep-dive with code examples The Forger vs Detective Analogy Imagine an art class with: The Forger (Generator): Tries to create fake Picasso paintings Wants to fool the expert... 2 min read · [esreekarreddy.hashnode.dev](https://esreekarreddy.hashnode.dev/gan-eli5-mmmm301q?utm_source=hashnode&utm_medium=feed) [Avinash Reddy Segireddy](https://hashnode.com/@Avinashsegireddy) · [Feb 14](https://hashnode.com/posts/generative-ai-as-a-decision-engine-for-payment-workflows/69900c06466a237821456cc8) ### [Generative AI as a Decision Engine for Payment Workflows](https://avinash-reddy-segireddy.hashnode.dev/generative-ai-as-a-decision-engine-for-payment-workflows?utm_source=hashnode&utm_medium=feed) 1\. Introduction Generative Artificial Intelligence (AI) is transforming how businesses automate and optimize complex processes. In the context of financial operations, especially payment workflows, the integration of generative AI as a decision engin... 5 min read · [avinash-reddy-segireddy.hashnode.dev](https://avinash-reddy-segireddy.hashnode.dev/generative-ai-as-a-decision-engine-for-payment-workflows?utm_source=hashnode&utm_medium=feed) [Siva Hemanth Kolla](https://hashnode.com/@sivahemanthkolla) · [Jan 24](https://hashnode.com/posts/operationalizing-generative-ai-in-the-enterprise/6974a0096038981839f11cac) ### [Operationalizing Generative AI in the Enterprise](https://sivahemanthkolla.hashnode.dev/operationalizing-generative-ai-in-the-enterprise?utm_source=hashnode&utm_medium=feed) Abstract Generative Artificial Intelligence (GenAI) has rapidly evolved from experimental innovation to a strategic enterprise capability. While many organizations have piloted generative AI tools, fewer have successfully operationalized them at scal... 4 min read · [sivahemanthkolla.hashnode.dev](https://sivahemanthkolla.hashnode.dev/operationalizing-generative-ai-in-the-enterprise?utm_source=hashnode&utm_medium=feed) [Avinash Reddy Segireddy](https://hashnode.com/@Avinashsegireddy) · [Jan 2](https://hashnode.com/posts/multi-modal-synthesis-at-scale-efficient-fusion-architectures-for-generative-models/6957a4e835732a7943bf1306) ### [Multi-Modal Synthesis at Scale: Efficient Fusion Architectures for Generative Models](https://avinash-reddy-segireddy.hashnode.dev/multi-modal-synthesis-at-scale-efficient-fusion-architectures-for-generative-models?utm_source=hashnode&utm_medium=feed) 1\. Introduction Multi-modal synthesis refers to the integration and generation of data across multiple modalities such as text, images, audio, video, and sensor data. As generative models have progressed—especially with transformers and diffusion mod... 5 min read · [avinash-reddy-segireddy.hashnode.dev](https://avinash-reddy-segireddy.hashnode.dev/multi-modal-synthesis-at-scale-efficient-fusion-architectures-for-generative-models?utm_source=hashnode&utm_medium=feed) [Avinash Reddy Aitha](https://hashnode.com/@AvinashReddyAitha) · [Nov 15, 2025](https://hashnode.com/posts/generative-automation-for-cloud-native-devops-ecosystems/69184578cf80cb481c7c7fbd) ### [Generative Automation for Cloud-Native DevOps Ecosystems](https://avinashreddyaitha.hashnode.dev/generative-automation-for-cloud-native-devops-ecosystems?utm_source=hashnode&utm_medium=feed) The rapid evolution of cloud-native technologies—containers, microservices, service meshes, and serverless platforms—has intensified the complexity of modern DevOps practices. As organizations scale, traditional automation techniques (templating, scr... 4 min read · [avinashreddyaitha.hashnode.dev](https://avinashreddyaitha.hashnode.dev/generative-automation-for-cloud-native-devops-ecosystems?utm_source=hashnode&utm_medium=feed)