Humanloop
Humanloop is an AI-powered Development tool — LLM fine-tuning and evaluation. Best for: Development. Pricing: Freemium (GateOnAI Score: 45/100).
LLM fine-tuning and evaluation
Enables teams to fine‑tune large language models through an iterative loop of data collection, labeling, and training. The platform captures user interactions in real time, turning them into high‑quality examples without manual dataset assembly. Built‑in active‑learning suggests the most informative prompts to label, reducing annotation effort. Humanloop supports OpenAI, Anthropic, and custom model endpoints, letting developers switch providers without rewriting pipelines. Exported datasets follow standard JSONL format for downstream use. Key capabilities include a visual prompt editor that previews model responses, a versioned evaluation suite that tracks metrics such as accuracy, BLEU, and latency, and automated A/B testing across model variants. The evaluation dashboard visualizes per‑prompt performance, highlighting regressions instantly. Integration hooks deliver new examples to the training loop via webhooks or SDK calls. Collaboration tools let multiple engineers comment on prompts and share experiment results. Export options include model checkpoints and evaluation reports for compliance audits. ML engineers, data scientists, and product teams use Humanloop to accelerate LLM product development, from chat assistants to code generators. The free tier permits up to 5,000 labeled examples and 10,000 inference calls per month, sufficient for prototyping. Paid plans raise limits, add private hosting, and provide SLA‑backed support. Because the service stores interaction data securely and offers role‑based access, enterprises can comply with internal governance while still benefiting from rapid iteration. It also logs version history for rollback.
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Works Well With
Tools that Humanloop genuinely connects with, based on real input/output compatibility data (not just shared category):
- Falcon AI - TII open-source AI language model
- LlamaIndex - Framework for connecting LLMs with external data sources.
- Fireworks AI - Ultra-fast AI inference for open-source models
- Llama 4 - Meta's most advanced open-weight multimodal AI model
- Sentry - AI application monitoring and error tracking
- Swimm - AI code documentation that stays up to date