ฝัง
- เผยแพร่เมื่อ 5 ก.ย. 2024
- Join this webinar to learn how to quickly build AI-powered data apps and how to enhance any aspect of your business operation with AI.
The generative AI experts at KNIME will teach you how to make custom AI applications for your specific needs by combining your data with large language models (LLMs). You'll discover how to interact with LLMs from OpenAI, use vector stores, and perform retrieval augmented generation, all with a low-code/no-code interface. The webinar is open to anyone interested in generative AI, whether you are a seasoned data science expert or just starting your journey.
00:00 intro
01:55 agenda
03:25 Recap: KNIME Analytics Platform and Data Apps
06:01 Large Language Models
09:27 Demo 1: simple data app
15:32 Chat Models
17:15 Demo 2: Chat App
20:59 How do I blen LLMs with my own data?
26:32 Demo 3: RAG
35:37 Q&A
59:54 Drop a review
with all the madness going on at the moment in the world of AI (e.g sora, text to video, robotics etc) its harder and harder to be surprised or indeed impressed.
This is super impressive! I am working on KNIME at the moment and hopefully will do what I want it to do....Keep up the good work!
9:29 demo
Hey. I am using KNIME to build decision tree classifier. I have two datasets, training and unknown which I have connected to Decision Tree Learner and Decision Tree Predictor respectively. However, the scorer shows an error of 'There were missing values in the reference or in the prediction class column'. There are no missing values in the dataset, I have treated them all. Could you help me make sense of this? Thanks!
For the test data does it need classifier or class to be provided? Is that missing.
awsome