Very Few Parameter Fine tuning with ReFT and LoRA Published 2024-05-01 Download video MP4 360p Download video MP4 720p Recommendations 43:40 Fine-tuning on Wikipedia Datasets 1:03:46 How to pick LoRA fine-tuning parameters? 1:07:40 Multi GPU Fine tuning with DDP and FSDP 09:58 Can Pandas Keep Up? Testing Pandas GPU & Polars for Data Analysis & Processing | cuDF Pandas Python 59:42 IDEFICS 2 API Endpoint, vLLM vs TGI, and General Fine-tuning tips 36:58 QLoRA—How to Fine-tune an LLM on a Single GPU (w/ Python Code) 51:06 Fine-tune Multi-modal LLaVA Vision and Language Models 48:50 Mojo🔥: a deep dive on ownership with Chris Lattner 38:09 Train & Serve Custom Multi-modal Models - IDEFICS 2 + LLaVA Llama 3 59:37 Data Preparation Tips and Tricks 29:56 Semantic Chunking for RAG 36:31 Preparing Fineweb - A Finely Cleaned Common Crawl Dataset 24:58 Top Ten Fine Tuning Tips 45:46 Geoffrey Hinton | On working with Ilya, choosing problems, and the power of intuition 53:09 Full fine tuning vs (Q)LoRA 15:40 GraphRAG: LLM-Derived Knowledge Graphs for RAG 07:30 ReFT: Representation Finetuning for Language Models | AI Paper Explained 21:41 How to Improve LLMs with RAG (Overview + Python Code) 40:44 How to hack a LLM using PyReft (using your own data for Fine Tuning!) Similar videos 22:57 Fine-Tuning with ReFT: Create an Emoji LLM for Medical Diagnosis 1:07:26 ReFT: Representation Finetuning for Language Models -- Aryaman Arora & Zhengxuan (Zen) Wu 1:02:18 Practical Fine-Tuning of LLMs 05:57 ReFT: Representation Finetuning for Language Models | New Large Language Models (LLMs) Paper 00:16 Don't Do This At Home 1:07:10 ReFT Explained 04:37 This new AI is powerful and uncensored… Let’s run it 16:06 Applying LORA on Salesforce BLIP 13:10 Fine-Tune Llama 3 with LlaMA Factory in Free Colab 1:02:22 Direct Preference Optimization (DPO) 2:00:59 2016 Isaac Asimov Memorial Debate: Is the Universe a Simulation? 1:07:20 The use of limit analysis in tectonic studies 52:17 AI4Bharat Paper Reading Session #1: ReFT 12:55 StarCoder: How to use an LLM to code 47:03 Capacity of Neural Networks for Lifelong Learning of Composable Tasks 57:13 how to Install SDXL 0.9, Run Locally with ComfyUI and what is new? More results