Practical RAG vs. Fine-Tuning: When to Use Each for LLM Apps

As the field of large language models (LLMs) matures, developers building intelligent applications are increasingly faced with a strategic choice: Should they use retrieval-augmented generation (RAG) or fine-tuning to enhance a model’s accuracy and relevance? Both techniques aim to optimize LLM performance, but they differ significantly in terms of complexity, cost, data requirements, and use-case…

The Benefits of Using Automated Tools for Video Transcription

In the era of digital communication, video content has become an essential part of how we consume information. Whether it’s educational material, business presentations, or entertainment, videos are a powerful medium. However, extracting valuable insights from videos often requires transcribing the spoken content into text. Traditionally, transcription has been a manual process that is both…