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[33:26] Fine-Tuned LLMs Boost Performance
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Classroom Contents
Mem0 - Building Production-Ready AI Agents with Scalable Long-Term Memory
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- 1 [00:00] Interactive Tech Q&A Session
- 2 [04:55] AI Context Limitations and User Frustration
- 3 [06:40] Efficient LLM Context Management Challenges
- 4 [11:02] Enhancing Personalized Service Memory
- 5 [14:59] Graph-Based Entity Relationship Extraction
- 6 [18:57] Memory Model Performance Evaluation
- 7 [21:00] MEM0 vs MEM0G Performance Analysis
- 8 [23:45] MEM0 Architecture: Advanced Memory Solution
- 9 [28:34] Token Count and Latency Analysis
- 10 [33:26] Fine-Tuned LLMs Boost Performance
- 11 [36:04] Customizing AI for Specific Domains
- 12 [38:05] Customizable User Memory Preferences
- 13 [42:04] MEM0: LLM-Driven Graph Innovations
- 14 [45:13] Effortless Memory Integration Tool
- 15 [48:35] Graph Memory for AI Companions
- 16 [52:35] Utilizing Graph and Semantic Memories
- 17 [55:01] MEM0 vs. Memory Client Comparison
- 18 [58:05] Meeting Concluded: Recording Available
