InTDS ArchivebyAris Tsakpinis·Nov 8, 2024Preference Alignment for Everyone!Frugal RLHF with multi-adapter PPO on Amazon SageMakerA response icon2A response icon2
InTDS ArchivebyAris Tsakpinis·Jun 3, 2024A Deep Dive into Fine-TuningStepping out of the “comfort zone” — part 3/3 of a deep-dive into domain adaptation approaches for LLMsA response icon2A response icon2
InTDS ArchivebyAris Tsakpinis·May 31, 2024A Deep Dive into In-Context LearningStepping out of the “comfort zone” — part 2/3 of a deep-dive into domain adaptation approaches for LLMs
InTDS ArchivebyAris Tsakpinis·May 28, 2024Introduction to Domain Adaptation- Motivation, Options, TradeoffsStepping out of the “comfort zone” — part 1/3 of a deep-dive into domain adaptation approaches for LLMs
Aris Tsakpinis·May 21, 2024LLM 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…A response icon2A response icon2
Aris Tsakpinis·May 21, 2024LLM 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…A response icon1A response icon1
InTDS ArchivebyAris Tsakpinis·Sep 7, 2023Leveraging 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 natureA response icon1A response icon1
Aris Tsakpinis·Aug 29, 2023Measuring and improving UX metrics of LLM-powered chatbots: latency benchmarking with LangChain…What is this about and why is this relevant?A response icon1A response icon1