PinnedDeploying Open-Source LLMs As APIsOpen-source LLMs are all the rage, along with concerns about data privacy with closed-source LLM APIs. This tutorial goes through how to…Jul 9, 20233Jul 9, 20233
PinnedAbout Me — Hello and Welcome!Who I am, why I write, and why you might be interestedJul 7, 20231Jul 7, 20231
PinnedPublished inTowards Data ScienceBuild Industry-Specific LLMs Using Retrieval Augmented GenerationOrganizations are in a race to adopt Large Language Models. Let’s dive into how you can build industry-specific LLMs Through RAGMay 31, 202310May 31, 202310
PinnedPublished inTowards Data ScienceFine-Tune Transformer Models For Question Answering On Custom DataA tutorial on fine-tuning the Hugging Face RoBERTa QA Model on custom data and obtaining significant performance boostsDec 15, 20224Dec 15, 20224
Published inEMAlphaOptimizing RAGRAG Demystified: A Hands-On Guide to Optimizing Your AI’s Knowledge RetrievalOct 27Oct 27
Published inEMAlphaYour First RAGBeginner’s step-by-step guide To Build A RAG Application From ScratchSep 173Sep 173
Published inEMAlphaRAG Document ParsersHow Do You Choose A Document Parser For Your RAG Application?Jul 21Jul 21
Published inEMAlphaTraining Compound AI SystemsRAG has ushered innovative ways to build around LLMs and data. Lets now see how to train Compound AI Systems that harness the power of LLMs…Apr 211Apr 211
Published inEMAlphaDSPy — Does It Live Up To The Hype?The DSPy framework promises to replace manual prompt engineering with a programming framework for auto-tunded prompts. Let’s see whether…Mar 126Mar 126
Published inEMAlphaSafeguarding LLM Conversations Using Llama GuardLlama Guard recently introduced by Meta aims to safeguard Human-AI conversations — let’s see how well it doesFeb 171Feb 171
