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AI Research Project Goals
User wants to build a personal AI assistant that can help with research, writing, and daily tasks. Key focus on privacy and local processing.
2 hours ago
Discussion with Sarah about ML Models
Talked about the trade-offs between local LLMs and cloud-based solutions. Sarah recommended looking into Llama 2 and Mistral.
1 day ago
How to Fine-tune Language Models
Step-by-step process for fine-tuning: 1) Prepare dataset in JSONL format, 2) Choose base model, 3) Set hyperparameters, 4) Monitor training loss.
2 days ago
Current Session: Memory System Design
Working on the memory explorer interface. Need to implement graph view, timeline, and search functionality.
Just now
Privacy-First AI Architecture
Key principles: data stays on device, encrypted sync, user controls all data retention, transparent about what's stored.
3 days ago
Meeting Notes: Q1 Planning
Discussed roadmap for Q1. Priorities: launch beta, onboard 100 users, gather feedback, iterate on core features.
7 days ago
Vector Database Comparison
Compared Pinecone, Weaviate, and Chroma. Chroma best for local-first, Pinecone for scale, Weaviate for hybrid search.
14 days ago
Weekly Review Template
Every Friday: Review completed tasks, update goals, plan next week, reflect on learnings, adjust priorities.
3 days ago
User Preferences: Dark Mode
User prefers dark mode interfaces, minimal animations, keyboard-first navigation, high information density.
5 days ago
Archived: Old Project Ideas
Previous brainstorm for features that were deprioritized. Keep for future reference.
30 days ago
Morning Brew: AI Chip Wars
NVIDIA maintains dominance but AMD and custom silicon from hyperscalers closing gap. Key insight: software moat matters most.
6 hours ago
Podcast: Tim Ferriss on Deep Work
Key tactics: 4-hour deep work blocks, airplane mode, batch communication, sacred morning routine.
1 day ago