Aris TsakpinisinTowards Data ScienceA Deep Dive into Fine-TuningStepping out of the “comfort zone” — part 3/3 of a deep-dive into domain adaptation approaches for LLMsJun 3Jun 3
Aris TsakpinisinTowards Data ScienceA Deep Dive into In-Context LearningStepping out of the “comfort zone” — part 2/3 of a deep-dive into domain adaptation approaches for LLMsMay 31May 31
Aris TsakpinisinTowards Data ScienceIntroduction to Domain Adaptation- Motivation, Options, TradeoffsStepping out of the “comfort zone” — part 1/3 of a deep-dive into domain adaptation approaches for LLMsMay 28May 28
Aris TsakpinisLLM domain adaptation using continued pre-training — Part 4/4Exploring domain adaptation via continued pre-training for large language models (LLMs)? This 4-part series answers the most common…May 21May 21
Aris TsakpinisLLM domain adaptation using continued pre-training — Part 2/4Exploring domain adaptation via continued pre-training for large language models (LLMs)? This 4-part series answers the most common…May 21May 21
Aris TsakpinisinTowards Data ScienceLeveraging qLoRA for Fine-Tuning of Task-Fine-Tuned Models Without Catastrophic ForgettingLearn how to infuse knowledge into purpose-fine-tuned models while keeping their task-specific natureSep 7, 2023Sep 7, 2023
Aris TsakpinisMeasuring and improving UX metrics of LLM-powered chatbots: latency benchmarking with LangChain…What is this about and why is this relevant?Aug 29, 20231Aug 29, 20231