UNC research team on VL Adapter for Efficient CLIP Transfer - Weaviate podcast #14 Published 2022-04-26 Download video MP4 360p Download video MP4 720p Recommendations 53:04 Unifying Vision and Language Models with Mohit Bansal - 636 10:00 Open Source RAG running LLMs locally with Ollama 12:46 Llama Adapter 1:35:19 Deep Learning with Letitia Parcalabescu - Weaviate Podcast #96! 15:28 What are Diffusion Models? 1:32:32 DSPy End-to-End: Meetup in San Francisco 1:15:56 LLaMA-Adapter: Fine-Tuning [Live Paper Study] 59:52 MIT 6.S191 (2023): Deep Generative Modeling 22:31 threading vs multiprocessing in python 40:57 Zain and JP chat about: Vector embedding models for AI 1:55:58 Building makemore Part 3: Activations & Gradients, BatchNorm 07:29 HR Analytics and How to Get Started 33:15 Demonstrate–Search–Predict Framework | Data Brew | Season 5 | Episode 3 59:48 RAG for Veterinarians (VetRec) with David de Matheu - Weaviate Podcast #92! 15:59 LLaMA2 for Multilingual Fine Tuning? 1:27:04 RAGKit with Kyle Davis - Weaviate Podcast #93! 45:45 Reverse indie, Agenda app - Alexander Griekspoor - Do iOS 2018 IEnglish) 11:37 What is RAG? (Retrieval Augmented Generation) Similar videos 1:25:37 Weaviate Podcast #5: How the knowledge management bot Katie leverages Weaviate 53:42 Weaviate Podcast #9 • Karen Beckers about the role of vector search in eCommerce 1:06:54 Weaviate v1.15 Release with Etienne Dilocker and Dirk Kulawiak - Weaviate Podcast #24 55:34 Weaviate Podcast #6: How Zencastr searches through their podcast transcriptions with Weaviate 57:46 Yaoshiang Ho on Masterful AI - Weaviate Podcast #22 52:56 Laura Ham on Weaviate User Experience - Weaviate Podcast #21 1:07:01 Kyle Lo on Scientific Literature Mining - Weaviate Podcast #17 47:39 Weaviate Podcast #7 • Arvind Neelakantan of OpenAI • Embeddings API in Weaviate 53:15 Maarten Grootendorst on BERTopic - Weaviate Podcast #28 53:44 Jonathan Frankle on MosaicML Cloud - Weaviate Podcast #26 1:02:08 Ori Ram on Learning to Retrieve Passages without Supervision - Weaviate Podcast #23 46:55 Weaviate Podcast #1 • Etienne Dilocker of SeMI • Community and Weaviate core update 57:47 Vincent D. Warmerdam on Applications of Nearest Neighbor Search - Weaviate Podcast #18 1:17:30 Weaviate Podcast #11: CEO Han Xiao from Jina AI 44:04 Michael Goin on Neural Magic - Weaviate Podcast #27 1:20:13 Weaviate Podcast #8 • Brady Neal about Causal Inference in Vector Search 47:19 Weaviate Podcast #13 • Data Science with Rick Lamers from Orchest 44:41 Erik Bernhardsson and Etienne Dilocker on Vector Search in Production - Weaviate Podcast #25 30:31 Yu Cheng: Towards data efficient vision-language (VL) models More results