Generative AI with Open Source Tools | Fast-Track Crash Course

🚀 Crash Course in Open Source Generative AI

Learn how to deploy generative AI (GenAI) with open source tools tailored for business and enterprise.

In this session, we cover:
✅ The rise of Enterprise GPT as an open source alternative to proprietary models
✅ How to use GenAI for content creation, search, and analytics
✅ Practical strategies for customizing AI solutions for your business
✅ The power of collaboration in the open source community

Whether you’re a developer, data scientist, or business leader, this crash course will help you leverage GenAI’s potential and implement enterprise-ready AI solutions.

🔗 Timestamps:
00:00 – Introduction
04:25 – My AI Conference Hack
05:25 – How AI Works
06:45 – Data Collection
10:27 – Data Processing
11:22 – Open Source Data Preparation
12:28 – Vector Databases
14:00 – Open Source Vector Databases
16:35 – Machine Learning
17:16 – Deep Learning
17:26 – Machine Learning Models
20:45 – Generative AI Models
23:59 – AI Models that are Open Source
32:36 – DeepSeek Hype
38:03 – Neural Networks
38:15 – Teaching the AI Model
38:03 – Neural Networks
41:47 – One Model Training another Model
43:33 – Applying what AI has Learned
44:33 – How Long a model thinks about a query
45:42 – How ChatGPT converts language to digestible units
49:16 – Feedback loops
51:04 – AI Agents

Video Credits : ‪@socallinuxexpo‬ Video posted here for educational purpose.

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