Elixir Mentor Christopher Grainger on LangGraph
Feb 23, 2025
In this engaging discussion, Christopher Grainger, founder of Amplified.ai, shares insights from his journey in AI and patent technology. He reveals how moving from Python to Elixir boosted efficiency and reduced costs for his company. The chat dives into the innovative LangGraph project, which simplifies LLM interactions, and the role of semantic technology in revolutionizing patent searches. Grainger emphasizes Elixir's strengths in AI, highlighting its actor model's compatibility with modern architectures and the potential of smaller AI models in software development.
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LangGraph in Amplified.ai
- Amplified.ai uses LangGraph for structured outputs, converting NimbleOptions to JSON Schema.
- This approach allows dynamic schema definition and avoids documentation stripping issues.
Niche LLM Use Cases
- Niche LLMs, specializing in specific domains like patent lookup, may become more prevalent than general-purpose LLMs.
- This specialization could increase efficiency and reduce reliance on large, resource-intensive models.
LLM Resource Limits
- The increasing energy and resource demands of large LLMs may limit their growth.
- Agentic workflows and model orchestration may offer a more sustainable path forward.