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Current work on the left. What is coming on the right.
Testing CrewAI, AutoGen, and LangGraph for complex task decomposition and agent collaboration.
Building and testing real-time voice AI interactions with sub-second latency targets.
Benchmarking quantized models on consumer hardware for privacy-first applications.
What is the optimal memory retrieval strategy for multi-session agents?
How do we measure and ensure consistent agent reliability?
Can we achieve useful agent behavior with sub-1s response times?
Exploring GPT-4V, Claude 3 Vision, and Gemini for document understanding.
Advanced chunking strategies and hybrid search for better retrieval.
Testing latest embedding models for domain-specific retrieval quality.
How do vision models handle complex diagrams and charts?
What is the cost/quality tradeoff for different embedding dimensions?
Can we build effective RAG without vector databases?