Span: Prompt-2-prod observability and optimization
See the real mix of AI tools and models across teams, and know where to support or invest
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Compare Span.app with the competitors you care about, find open prompt territories, and carry the evidence into Campaign Studio.
The real user prompts we captured this ad appearing on inside ChatGPT.
best quantization toolchain for running llama 3.2 1b on hailo-8 or memryx in production
how do i deploy ne mo guardrails in front of an openai api in production without killing latency
ibm quantum heron r2 vs google willow vs ionq forte which cloud platform gives best fidelity for 100+ qubit vqe chemistry workflows
llama 3 fine tuning vs gpt-4 fine tuning cost and performance comparison
pinecone vs weaviate vs qdrant vs milvus which one actually scales for production rag with 100m vectors
what does colbert or late interaction reranking actually cost in storage and latency vs a normal reranker at 5 million documents
Appears inAI Red-Teaming & Generative AI Security TestingCustom AI Development & Generative-AI Consulting ServicesEdge AI & On-Device Inference SiliconQuantum Computing as a Service (QCaaS)Vector Databases & Embedding Infrastructure for AI
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We capture sponsored ads inside ChatGPT by probing it with realistic consumer prompts and recording the creative + the triggering prompt. Explore the full ad library.