Srinivas Bommena·Jun 25User Feedback Is Not Training Data: Designing Feedback Loops for Production GenAIUser corrections can expose a stale policy, weak retrieval, a poor prompt, broken workflow logic, or a genuine model limitation. Treating…
InLevel Up CodingbyMohit Sewak, Ph.D.·May 4Solving the Cryptographic Bottleneck in GenAI TrainingWhy forward-only prompt tuning is the key to training massive AI models without exposing user data.
QuarkAndCode·Apr 9GraphRAG Tuning and Optimization: CLI & Python API GuideGraphRAG becomes valuable when ordinary vector RAG starts reducing a rich corpus to a few disconnected snippets. According to Microsoft’s…
InJYSK TechbyFlorencio Paucar·Mar 31Parameter-Efficient Adaptation of Large Language ModelsAs Large Language Models (LLMs) scale, traditional fine-tuning becomes expensive, causing standard transfer learning workflows to hit a…
Sundeep Kunchala·Mar 16Intelligent Prompt Optimization with GEPA: Using Reflection LLMs to Fix What Manual Engineering…Turning business outcomes into better LLM instructions — no fine-tuning, no labeled data, no guesswork.
