BUILDING AND LAUNCHING AI AGENTS WITH GAIA

Gaia @ IBW, Bengaluru

Transcript

1. BUILDING AND LAUNCHING AI AGENTS WITH GAIA 1
2. • Introduction to AI • Why AI and Web3? • Intro to Gaia • Building with Gaia 2
3. Introduction to AI 3
4. GPTs are everywhere 4
5. GPTs are everywhere GPTs are designed to perform tasks like recognizing speech and can generate human-like text to create coherent and responses in chatbots and virtual assistants. Inference Machine Learning Compute Hosting UX/UI Introduction to AI 5
6. Embeddings makes performing natural language and coding tasks easier. Embeddings Introduction to AI 6
7. Model training involves teaching a model to identify patterns within data. Introduction to AI 7 Model Training vs Inference Inference uses trained models to make decisions in real-time.
8. Model training involves teaching a model to identify patterns within data. Introduction to AI 8 Model Training vs Inference Inference uses trained models to make decisions in real-time.
9. Inference uses trained models to make decisions in real-time. Introduction to AI 9 Inference
10. Large Language Models (LLMs) LLMs are a type of artificial intelligence model that is designed to understand and generate human-like text based on vast amounts of data. Introduction to AI 10
11. Why AI and Web3? Table of Contents 11
12. Why AI and Web3 Data is being taken from us, AI is controlled by a small group of people, and ML needs to be monetized, not us. 12 12
13. Why not just use OpenAI? 04
14. Why not just use OpenAI? • Control and Governance • Privacy and IP Issues • Expensive • Censorship and bias 04
15. Why AI and Web 3? Decentralized AI Enhanced data privacy Improved AI transparency Tokenized AI services Autonomous AI agents Data marketplaces Why AI and Web3 15
16. Intro to Gaia Table of Contents Gaia Builders' Day 16
17. 17 Intro to Gaia
18. Gaia transforms decentralized AI into a network of living knowledge integrating data, knowledge, and compute. Solution 18 Intro to Gaia
19. Support any Open-source or Open AI model Solution Revenue generating nodes through API services Decentralized governance and economic models 19 Intro to Gaia Fine-tuned LLMs and other models
20. Collaborative AI Development Community Contributions Facilitates collaborative development and sharing of AI models across the network. Incentivized Innovation Encourages innovation by rewarding contributors for their work and expertise. 20 Gaia Builders' Day
21. Personalized AI Services Customizable Models Deploy and fine-tune AI models to meet your specific needs and data. Privacy-Preserving Inference Sensitive data is processed locally, ensuring privacy protection 21 Gaia Builders' Day
22. Decentralized Applications (dApps) Enhanced Functionality Integrates AI capabilities into dApps, enhancing their functionality and user experience. Secure Transactions Ensures secure and private transactions within decentralized applications. 22 Gaia Builders' Day
23. Building with Gaia Table of Contents 23
24. What to build with GaiaNet
25. Gaia Architecture - Domains Intro to Gaia 25
26. Vector DB Manually or using an algorithm Embedding model VectorDB Your knowledge base to the embeddings in the VectorDB Knowledge Base Chunk (segment the knowledge) Convert chunks to embeddings Index the embeddings to the VectorDB Intro to Gaia 26
27. Demo Creating a Gaia Agent
28. Thank You