Klu Alternatives

Streamline generative AI application development with collaborative prompt engineering, rapid iteration, and built-in analytics for optimized model fine-tuning.
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Humanloop

If you're looking for something to replace Klu, Humanloop is a good option. It's a collaborative environment for managing and optimizing the development of Large Language Models (LLMs) applications. Its features include a prompt management system, version control, evaluation and monitoring suite, and tools for customization and optimization. It integrates with popular LLM providers and has integration SDKs in Python and TypeScript, so it's good for developers, product managers and domain experts.

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HoneyHive

Another good option is HoneyHive, which offers a full environment for AI evaluation, testing and observability. It automates CI testing, prompt management and monitoring for production pipeline failures. HoneyHive supports more than 100 models and has a variety of tools including automated evaluators, human feedback collection and custom charting. Its flexible pricing means it's good for individual developers and big enterprise teams.

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Freeplay

If you're looking for a lifecycle management tool, Freeplay could be a good choice. It automates the development process with features like prompt management, automated batch testing, AI auto-evaluations and human labeling. Freeplay offers a single pane of glass for teams and can be deployed in a variety of ways for compliance. It's geared for enterprise teams trying to increase efficiency and speed up development velocity.

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LastMile AI

Last, you could look at LastMile AI, which is geared for helping engineers productionize generative AI applications. It offers tools for debugging and evaluating RAG pipelines, optimizing prompts and managing models. With tools like Auto-Eval, RAG Debugger and a notebook-inspired environment for prototyping, LastMile AI is designed to make it easier to deploy reliable AI applications.

More Alternatives to Klu

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Athina

Experiment, measure, and optimize AI applications with real-time performance tracking, cost monitoring, and customizable alerts for confident deployment.

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Prompt Studio

Collaborative workspace for prompt engineering, combining AI behaviors, customizable templates, and testing to streamline LLM-based feature development.

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Parea

Confidently deploy large language model applications to production with experiment tracking, observability, and human annotation tools.

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Keywords AI

Streamline AI application development with a unified platform offering scalable API endpoints, easy integration, and optimized tools for development and monitoring.

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PROMPTMETHEUS

Craft, test, and deploy one-shot prompts across 80+ Large Language Models from multiple providers, streamlining AI workflows and automating tasks.

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Airtrain AI

Experiment with 27+ large language models, fine-tune on your data, and compare results without coding, reducing costs by up to 90%.

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Openlayer

Build and deploy high-quality AI models with robust testing, evaluation, and observability tools, ensuring reliable performance and trustworthiness in production.

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Langtail

Streamline AI app development with a suite of tools for debugging, testing, and deploying LLM prompts, ensuring faster iteration and more predictable outcomes.

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ThirdAI

Run private, custom AI models on commodity hardware with sub-millisecond latency inference, no specialized hardware required, for various applications.

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OctiAI

Craft more creative and precise prompts for image and text tasks with AI models, optimizing results and efficiency.

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Dataloop

Unify data, models, and workflows in one environment, automating pipelines and incorporating human feedback to accelerate AI application development and improve quality.

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Abacus.AI

Build and deploy custom AI agents and systems at scale, leveraging generative AI and novel neural network techniques for automation and prediction.

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Predibase

Fine-tune and serve large language models efficiently and cost-effectively, with features like quantization, low-rank adaptation, and memory-efficient distributed training.

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Vellum

Manage the full lifecycle of LLM-powered apps, from selecting prompts and models to deploying and iterating on them in production, with a suite of integrated tools.

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Appen

Fuel AI innovation with high-quality, diverse datasets and a customizable platform for human-AI collaboration, data annotation, and model testing.

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TeamAI

Collaborative AI workspaces unite teams with shared prompts, folders, and chat histories, streamlining workflows and amplifying productivity.

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Clarifai

Rapidly develop, deploy, and operate AI projects at scale with automated workflows, standardized development, and built-in security and access controls.

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Prompt Mixer

Collaborative workspace for building AI features, enabling teams to design, test, and iterate on AI-powered solutions together in a single environment.

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Deepchecks

Automates LLM app evaluation, identifying issues like hallucinations and bias, and provides in-depth monitoring and debugging to ensure high-quality applications.

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AirOps

Create sophisticated LLM workflows combining custom data with 40+ AI models, scalable to thousands of jobs, with integrations and human oversight.