PinnedInLevel Up CodingbyIda Silfverskiöld·Sep 30, 2025Agentic AI: Implementing Long-Term MemoryThis article helps you understand how to build complex memory systems and the frameworks that helpA response icon21A response icon21
PinnedInData Science CollectivebyIda Silfverskiöld·Apr 15, 2025Agentic AI: Comparing New Open-Source FrameworksBy looking at functionality and learning curvesA response icon68A response icon68
PinnedInTDS ArchivebyIda Silfverskiöld·Dec 23, 2024Advanced Prompt Engineering: Chain of Thought (CoT)Comparing different techniques for reasoningA response icon22A response icon22
PinnedInTDS ArchivebyIda Silfverskiöld·Nov 12, 2024Economics of Hosting Open Source LLMsLeveraging various deployment optionsA response icon14A response icon14
PinnedInTDS ArchivebyIda Silfverskiöld·May 28, 2024Fine-Tune Smaller Transformer Models: Text ClassificationUsing Microsoft’s Phi-3 to generate synthetic dataA response icon6A response icon6
InData Science CollectivebyIda Silfverskiöld·6d agoBuilding the Harness Around AI Coding ToolsThe basics like permissions & sandboxing, AGENTS.md, rules, docs, memory, planning, subagents & skillsA response icon12A response icon12
InLevel Up CodingbyIda Silfverskiöld·Sep 13On Building an Open Source AI Video-to-Audio EditorSomething that fixes the whole voice drift thingA response icon8A response icon8
InLevel Up CodingbyIda Silfverskiöld·Jul 12I Spent the Summer Testing 14 OCR EnginesTo figure out where each excelled and where it failedA response icon20A response icon20
InData Science CollectivebyIda Silfverskiöld·May 5Agentic AI: How to Save on TokensCaching, lazy-loading, routing, compaction, and so onA response icon40A response icon40
InData Science CollectivebyIda Silfverskiöld·Feb 17Testing a Naive RAG Pipeline vs an ‘Advanced’ OneWhich wins where and why?A response icon3A response icon3