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Links From Todays Video:
https://www.liquid.ai/liquid-foundation-models
0:00 Foundation Models
0:28 Efficiency Features
0:59 Company Vision
1:27 Liquid Engine
1:58 Real Applications
2:25 Current Limitations
2:44 Company Mission
3:16 Performance Focus
3:45 Model Release
4:30 Neural Networks
5:08 Memory Usage
5:37 Model Performance
6:00 Model Recognition
6:46 Model Updates
7:18 Future Products
7:41 Product Library
8:10 Company Position
8:34 Innovation Areas
9:07 Quality Analysis
9:29 Evaluation Methods
9:58 Quality Aspects
10:27 Efficiency Focus
10:56 Framework Design
11:34 Design Approach
11:52 Development Process
12:20 Evaluation Examples
12:42 Training Progress
13:04 Quality Comparison
13:31 Memory Performance
13:57 Quality Results
14:46 Training Process
15:09 Model Creation
15:44 Training Results
16:26 Japanese Model
16:55 Language Forms
17:29 Model Types
17:48 Biological Applications
18:28 Bio Performance
19:22 Physical World
19:59 Drive Form
20:35 Transaction Analysis
21:41 Fraud Detection
22:28 Multi-Modal Features
22:57 Time Series
23:24 Financial Analysis
24:27 Developer Kit
25:03 Model Building
25:45 Transaction Monitoring
26:41 Model Training
27:32 Model Accuracy
28:35 Interface Examples
29:24 Time Analysis
30:34 Model Capabilities
31:03 Development Tools
31:40 Architecture Details
32:25 Pipeline Example
32:51 Building Process
33:17 Operator Level
34:16 Block Structure
34:58 Development Kit
35:35 Training Pipeline
36:28 Model Distribution
37:04 Model Explanation
37:35 Explain Function
38:10 Vision Model
38:56 Model Output
39:22 Output Analysis
40:35 Model Release
41:03 Edge Deployment
42:10 Future Applications
42:35 Use Cases
43:33 Scale Overview
44:02 Device Support
44:58 Model Demo
45:39 Offline Features
46:33 Voice Assistant
47:24 Model Performance
47:53 Speech Model
48:40 Device Testing
49:31 Creative Writing
50:45 Model Example
51:43 Support Agent
52:31 Speech Input
53:12 Deployment Demo
53:59 Final Overview
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