lastmile-ai/mcp-agentjust droppedNEW
dottxt-ai/outlinesjust droppedNEW
getomni-ai/zeroxjust droppedPIPETrendingRepoLIVE · 30 mention sourcesNEWlastmile-ai/mcp-agentjust droppedNEWdottxt-ai/outlinesjust droppedNEWgetomni-ai/zeroxjust droppedPIPETrendingRepoLIVE · 30 mention sourcesAn AI hallucination is when a language model produces fluent but false or fabricated information, stating it with the same confidence as fact.
Because a language model predicts plausible text rather than verifying truth, it can invent citations, APIs, or facts — especially for niche, recent, or under-represented topics. For production systems this is a primary reliability risk.
Mitigations all aim to ground or check the output: retrieval-augmented generation with citations, output validation and guardrails, and systematic evaluation. Open-source tooling exists for each, and no single fix eliminates the problem entirely.
Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDIA NIM]
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LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar
Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS.
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