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슬라이드2:22EN
Matthew Berman· 2026년 5월 29일Pioneer Agent and Automated Fine-Tuning of Small ModelsMatthew Berman · Forward FutureIn a Fastino-sponsored video, Matthew Berman describes a system that automates parts of model adaptation and discusses its reported benchmark results.파인튜닝평가(Evals)Local inference+2
슬라이드 3장11:56EN
Matthew Berman· 2024년 11월 3일IBM Granite 3.0 and InstructLab: Small Models for Enterprise AIMatthew Berman · Forward FutureMatthew Berman reviews IBM's 2024 model family and its approach to adding domain knowledge. IBM partnered on the video and invited him to its event.모델과 학습엔터프라이즈 AI파인튜닝+2
슬라이드 5장12:03EN
Matthew Berman· 2024년 9월 6일Reflection 70B: Self-Correction Claims and the Limits of a 2024 DemoMatthew Berman · Forward FutureMatthew Berman reviews a model trained to generate reflection steps. Its initial benchmark claims later proved difficult for independent evaluators to reproduce.AI HistoryFoundation Models평가(Evals)+2
슬라이드0:44EN
Matthew Berman· 2024년 8월 29일NVIDIA Adds Multi-LoRA Serving to Its RTX AI ToolkitMatthew Berman · Forward FutureIn an NVIDIA-partnered video, Matthew Berman describes using multiple adapters with one base model and a vendor-reported throughput gain.파인튜닝Inference인프라와 배포
슬라이드 2장6:28EN
Matthew Berman· 2023년 8월 29일A Historical GPT-3.5 Fine-Tuning WalkthroughMatthew Berman · Forward FutureMatthew Berman demonstrates generating synthetic examples in Colab and training a model to use a distinctive tone.파인튜닝Synthetic data모델과 학습
슬라이드 2장8:49EN
Matthew Berman· 2023년 7월 19일Llama 2’s 2023 Release: Model Sizes, License and SafetyMatthew Berman · Forward FutureMatthew Berman reviews Meta’s Llama 2 paper, its commercial license, model variants and safety evaluations.오픈소스와 커뮤니티Foundation ModelsAI Alignment+1
슬라이드 5장19:38EN
Matthew Berman· 2023년 6월 9일Orca: Teaching a Smaller Model with GPT-4 ExplanationsMatthew Berman · Forward FutureMatthew Berman reviews Microsoft Research’s 2023 Orca paper and its approach to training a 13-billion-parameter model on detailed teacher responses.Distillation파인튜닝Synthetic data+2
슬라이드 4장11:42EN
Matthew Berman· 2023년 5월 31일Guanaco and QLoRA: A 2023 Fine-Tuning and Model TestMatthew Berman · Forward FutureMatthew Berman reviews the QLoRA paper, explains the reported memory savings and tries Guanaco 65B on an informal prompt set.파인튜닝QuantizationOpen-weight models+1
1:13:52EN
Matthew Berman· 2023년 4월 15일Andriy Mulyar on GPT4All, Data Quality and Open Local ModelsMatthew Berman, Andriy Mulyar · Forward FutureThe Nomic AI co-founder explains how GPT4All emerged, why training data matters, and the tradeoffs between local and centralized AI.Local inferenceOpen-weight modelsData quality & curation+2
슬라이드 3장6:50EN
Matthew Berman· 2023년 3월 19일Running LLaMA and Alpaca Locally: A 2023 Dalai TutorialMatthew Berman · Forward FutureMatthew Berman demonstrates an early local-model setup on a MacBook Air and explains the settings that control generation.Local inference모델과 학습파인튜닝+1