From ideation to launch: Using New Relic insights to develop and monitor your first generative AI chatbot
Blog post from New Relic
The blog post explores the creation and scaling of a simple generative AI application, specifically a virtual health coach, using tools like OpenAI's GPT-3.5-turbo model and LangChain framework. It discusses the technical components involved, such as large language models, orchestration frameworks, and vector databases, and highlights the challenges of AI, including hallucinations and nondeterministic behavior. The post emphasizes the importance of observability tools like New Relic, which provide insights into application performance, user interactions, and backend processes, allowing developers to optimize and manage AI applications effectively. Additionally, it touches on the author Sadé C. Johnson's background and interests, reinforcing the broader context of ethical concerns and resource management in AI development.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 20 | 2,357 | 311 | 115 | -2% |
| Vector Search | 6 | 1,815 | 230 | 71 | -13% |
| Observability | 4 | 1,444 | 278 | 85 | +25% |
| RAG | 4 | 1,158 | 170 | 50 | +3% |
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