👩‍🏫AI Research

Open Source Research from the Arize AI Research Team

• Time Series Evals with OpenAI o1-preview

• Prompt Caching Benchmarking

• Multi-Agent Systems: Swarm

• Instrumenting LLMs with OTel

• Comparing Agent Frameworks

• Testing Generation in RAG

Time Series Evals with OpenAI o1-preview

We benchmarked o1-preview on our hardest eval task - time series trend evaluations. This post compares that performance against GPT-4o-mini, Claude 3.5 sonnet, and GPT-4o.

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Prompt Caching Benchmarking

We compare the performance and cost savings of prompt caching on Anthropic vs OpenAI.

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Multi-Agent Systems: Swarm

We compare and contrast OpenAI's experimental Swarm repo against other popular multi-agent frameworks: Autogen and CrewAI

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Instrumenting LLMs with OTel

Lessons learned from our journey to one million downloads of our OpenTelemetry wrapper, OpenInference.

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Comparing Agent Frameworks

We built the same agent in LangGraph, LlamaIndex Workflows, CrewAI, Autogen, and pure code. See how each framework compares.

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Testing Generation in RAG

Testing the generation stage of RAG across GPT-4 and Claude 2.1.