Darren OberstGetting Work Done with GenAI: Just do the opposite — 10 contrarian rules that may actually workWhat if the keys to unlocking the value of generative AI were to do the exact opposite of conventional wisdom on how to use it?Sep 2Sep 2
Darren OberstBest Small Language Models for Accuracy and Enterprise Use Cases — Benchmark ResultsWhat are the most accurate small language models?Aug 26Aug 26
Darren OberstBuilding the Most Accurate Small Language Models — Our JourneyIn mid-2023, we were working on the launch of our open source project — llmware — and were looking for a good instruct RAG ‘testing’ model…Aug 26Aug 26
Darren OberstSLIMs: small specialized models, function calling and multi-model agentsWhy small, specialized function calling LLMs are the futureMay 14May 14
Darren OberstThinking does not happen one token at a time…One of the most important parts of generative AI is often over-looked, specifically that GPT-based models are auto-regressive causal…May 14May 14
Darren Oberst6 Tips to Becoming a Master LLM Fine-tuning ChefLLM Finetuning Best PracticesDec 18, 20231Dec 18, 20231
Darren OberstRAG-Instruct Capabilities: “They Grow up So Fast”Comparing 1B vs 3B vs 7B parameter LLM model capabilitiesNov 7, 20231Nov 7, 20231
Darren OberstHow to Evaluate LLMs for RAG?Introducing New RAG Instruct LLM Benchmark Performance TestNov 5, 20234Nov 5, 20234
Darren OberstOpen Source LLMs in RAGMost RAG workflow examples showcase GPT-4 or another leading proprietary LLM. One of the most common questions that we get is: how can I…Oct 31, 20231Oct 31, 20231
Darren OberstTechniques for Automated Source Citation Verification for RAGOver the last year, retrieval augmented generation (RAG) has emerged as a popular LLM-based architecture to address one of the most common…Oct 31, 20231Oct 31, 20231