--- title: "#large-language-models articles | Hashnode" description: "Explore 588 articles tagged #large-language-models on Hashnode. Tutorials, guides, and how-tos from the community." url: "https://hashnode.com/tag/large-language-models" --- Tag # #large-language-models 588 posts · 114 followers [Sharon Langer](https://hashnode.com/@sharonlanger) · [6d ago](https://hashnode.com/posts/small-models-big-agents-are-we-teaching-the-wrong-model/6aec4bf5d4afcc6b9c2e9050) ### [Small Models, Big Agents: Are We Teaching the Wrong Model?](https://sharonlanger.hashnode.dev/small-models-big-agents-are-we-teaching-the-wrong-model?utm_source=hashnode&utm_medium=feed) System One, System Two, and a different way of thinking about AI agents. 9 min read · [sharonlanger.hashnode.dev](https://sharonlanger.hashnode.dev/small-models-big-agents-are-we-teaching-the-wrong-model?utm_source=hashnode&utm_medium=feed) [1](https://hashnode.com/posts/small-models-big-agents-are-we-teaching-the-wrong-model/6aec4bf5d4afcc6b9c2e9050) [DataNorthAI](https://hashnode.com/@datanorthai) · [6d ago](https://hashnode.com/posts/small-language-models-vs-llms/6aec4bddebbe568766cfae2f) ### [Small Language Models vs LLMs: Key Differences](https://datanorth.hashnode.dev/small-language-models-vs-llms?utm_source=hashnode&utm_medium=feed) Compare small language models and LLMs on cost, speed, deployment and specialisation, with practical business use cases. 4 min read · [datanorth.hashnode.dev](https://datanorth.hashnode.dev/small-language-models-vs-llms?utm_source=hashnode&utm_medium=feed) [Syncfusion, Inc.](https://hashnode.com/@Syncfusion-blogs) · [Nov 3](https://hashnode.com/posts/jev-ai-vs-structured-output-llms-which-one-should-you-actually-use/6ae9a91e5a3de0a9e845316d) ### [Jev AI vs. Structured-Output LLMs: Which One Should You Actually Use?](https://syncfusion-blogs.hashnode.dev/jev-ai-vs-structured-output-llms-which-one-should-you-actually-use?utm_source=hashnode&utm_medium=feed) Jev AI vs. structured-output LLMs: understand the differences, use cases, and how clean document data improves reliable AI decisions. 19 min read · [syncfusion-blogs.hashnode.dev](https://syncfusion-blogs.hashnode.dev/jev-ai-vs-structured-output-llms-which-one-should-you-actually-use?utm_source=hashnode&utm_medium=feed) [Ahmed Shendy](https://hashnode.com/@devahmedshendy) · [Nov 2](https://hashnode.com/posts/blackboard-architecture-with-llm-agents-what-could-it-make-possible/6ae909ce73d4212a9cda2d1d) ### [Blackboard Architecture with LLM Agents: What Could It Make Possible?](https://shendy.hashnode.dev/blackboard-architecture-with-llm-agents-what-could-it-make-possible?utm_source=hashnode&utm_medium=feed) Exploring how LLM agents use Blackboard Architecture to discover data and coordinate through shared request and response boards without direct task assignment. 3 min read · [shendy.hashnode.dev](https://shendy.hashnode.dev/blackboard-architecture-with-llm-agents-what-could-it-make-possible?utm_source=hashnode&utm_medium=feed) [Adam Jaber](https://hashnode.com/@adamjaber) · [Oct 30](https://hashnode.com/posts/ai-knowledge-cutoff-outdated-answers/6ae491bac9a728d16db85b53) ### [Why AI Coding Assistants Suggest Deprecated APIs (and How to Stop It)](https://simplyexplained.hashnode.dev/ai-knowledge-cutoff-outdated-answers?utm_source=hashnode&utm_medium=feed) It's not just the knowledge cutoff. The old API has more votes in the training data, and your own code decides which era the model writes in. 9 min read · [simplyexplained.hashnode.dev](https://simplyexplained.hashnode.dev/ai-knowledge-cutoff-outdated-answers?utm_source=hashnode&utm_medium=feed) [Nash Hasan](https://hashnode.com/@edtechniti) · [Oct 29](https://hashnode.com/posts/prompt-injection-defense-heads-of-security/6ae33434861cc6a455927c73) ### [Closing the Prompt Injection Vulnerability: Why Heads of Security Changes Enterprise Agent Risk for Higher Education](https://blog.edtechniti.com/prompt-injection-defense-heads-of-security?utm_source=hashnode&utm_medium=feed) Learned attention gates drop prompt injection attack rates to 10 percent without breaking administrative tool calling, establishing a verifiable baseline for enterprise AI governance. 8 min read · [blog.edtechniti.com](https://blog.edtechniti.com/prompt-injection-defense-heads-of-security?utm_source=hashnode&utm_medium=feed) [Nash Hasan](https://hashnode.com/@edtechniti) · [Oct 23](https://hashnode.com/posts/direct-pass-k-inference-economics/6adacf634b8109665efcf8fe) ### [The Inference Wall Hits Campus IT: Direct Pass@k Optimization and the Economics of Test-Time Compute](https://blog.edtechniti.com/direct-pass-k-inference-economics?utm_source=hashnode&utm_medium=feed) Early thought pruning cuts multi-step reasoning compute by over 60% while maintaining solution diversity and institutional compliance. 7 min read · [blog.edtechniti.com](https://blog.edtechniti.com/direct-pass-k-inference-economics?utm_source=hashnode&utm_medium=feed) [Ahmed Adawy](https://hashnode.com/@ai-architecture) · [Oct 22](https://hashnode.com/posts/your-llm-is-slow-the-gpu-might-not-be-the-problem/6ada6cea8394bfee38aa81c7) ### [Your LLM Is Slow. The GPU Might Not Be the Problem.](https://adawy.hashnode.dev/your-llm-is-slow-the-gpu-might-not-be-the-problem?utm_source=hashnode&utm_medium=feed) Learn how to diagnose slow LLM APIs by separating queueing, retrieval, prefill, decoding, and streaming latency before changing hardware. Python soft 9 min read · [adawy.hashnode.dev](https://adawy.hashnode.dev/your-llm-is-slow-the-gpu-might-not-be-the-problem?utm_source=hashnode&utm_medium=feed) [Adam Jaber](https://hashnode.com/@adamjaber) · [Oct 22](https://hashnode.com/posts/rag-chunking-strategy-context-loss/6ad984f4b934f80bb921e1cd) ### [RAG Chunking: Why Chunk Size Is the Wrong Knob](https://simplyexplained.hashnode.dev/rag-chunking-strategy-context-loss?utm_source=hashnode&utm_medium=feed) Most wrong RAG answers come from chunks that lost their context, not chunks of the wrong size. Here's how to find them and fix them. 9 min read · [simplyexplained.hashnode.dev](https://simplyexplained.hashnode.dev/rag-chunking-strategy-context-loss?utm_source=hashnode&utm_medium=feed) [Nash Hasan](https://hashnode.com/@edtechniti) · [Oct 20](https://hashnode.com/posts/claude-bedrock-constrained-decoding-campus-ai/6ad748b882151d6d88fe6dc7) ### [Deterministic JSON Reaches Claude on Bedrock: Why Constrained Decoding Changes Campus AI Infrastructure](https://blog.edtechniti.com/claude-bedrock-constrained-decoding-campus-ai?utm_source=hashnode&utm_medium=feed) Native constrained decoding on AWS Bedrock eliminates JSON schema failures, stabilizing campus AI integration and API costs. 7 min read · [blog.edtechniti.com](https://blog.edtechniti.com/claude-bedrock-constrained-decoding-campus-ai?utm_source=hashnode&utm_medium=feed) [1](https://hashnode.com/posts/claude-bedrock-constrained-decoding-campus-ai/6ad748b882151d6d88fe6dc7)