Andrew Ng
@AndrewYNg
Co-Founder of Coursera; Stanford CS adjunct faculty. Former head of Baidu AI Group/Google Brain. #ai #machinelearning, #deeplearning #MOOCs
ID:216939636
http://www.andrewng.org 18-11-2010 03:39:11
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In Prompt Engineering for Vision Models, taught by Abby Jacques Verre and Caleb Kaiser of Comet , you’ll learn how to prompt and fine-tune vision models for personalized image generation, image editing, object detection and segmentation. The prompts you'll use for…
New short course with Mistral AI !
Mistral's open-source Mixtral 8x7B model uses a 'mixture of experts' (MoE) architecture. Unlike a standard transformer, an MoE model has multiple expert feed-forward networks (8 in this case), with a gating network selecting two experts at…
Data preprocessing is critical for building effective RAG systems. Our new short course, Preprocessing Unstructured Data for LLM Applications, taught by Matt Robinson of UnstructuredIO, demonstrates important but sometimes overlooked aspects of RAG systems:
- How to extract…
The Financial Times has a great article on Renate Nyborg Renate Nyborg's work on Meeno , written by Madhumita Murgia.
The article is paywalled, but I appreciate Renate (as well as Harvard's Ron Ivey)'s leadership speaking about the dangers of the AI fake girlfriend/boyfriend…
The task-based analysis of how AI affects jobs is a powerful technique for creating business value. It was pioneered by Workhelix’s Erik Brynjolfsson et al. Now, Workhelix has developed technology to apply this at scale, by automatically examining a company’s job descriptions,…
New JavaScript short course: Build a full-stack web application that uses RAG in JavaScript RAG Web Apps with LlamaIndex, taught by Laurie Voss, VP of Developer Relations at LlamaIndex 🦙 and npm co-founder.
- Build a RAG application for querying your own data
- Develop tools to…