Deepchecks Alternatives

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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Langtail

If you're looking for a Deepchecks alternative, Langtail is a good choice. It's a collection of tools for debugging, testing and deploying Large Language Model (LLM) prompts, with features like fine-tuning prompts with variables, running tests to avoid unexpected app behavior and monitoring production performance with rich metrics. Langtail also has a no-code playground for writing and running prompts, which can help teams collaborate and build more reliable AI products.

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Langfuse

Another good alternative is Langfuse. This open-source platform is designed for debugging, analysis and iteration of LLM applications. It offers tracing, prompt management, evaluation and analytics, with full context capture of LLM executions and support for multiple integrations. Langfuse is built with security certifications and offers various pricing tiers, including a free Hobby plan, so it can be used at different levels of intensity.

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LangWatch

If quality and safety are your top priorities, LangWatch is a good option. It can help you avoid problems like jailbreaking and sensitive data exposure with real-time metrics and continuous optimization. LangWatch lets you evaluate model performance, create test datasets and run simulation experiments to ensure reliable and faithful AI responses. It offers different pricing tiers for small businesses, enterprises and everything in between.

More Alternatives to Deepchecks

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GradientJ

Automates complex back office tasks, such as medical billing and data onboarding, by training computers to process and integrate unstructured data from various sources.

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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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Spellforge

Simulates real-world user interactions with AI systems, testing and optimizing responses for reliability and quality before real-user deployment.

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Baseplate

Links and manages data for Large Language Model tasks, enabling efficient embedding, storage, and versioning for high-performance AI app development.

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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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LLM Explorer

Discover and compare 35,809 open-source language models by filtering parameters, benchmark scores, and memory usage, and explore categorized lists and model details.

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LLMStack

Build sophisticated AI applications by chaining multiple large language models, importing diverse data types, and leveraging no-code development.

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MonsterGPT

Fine-tune and deploy large language models with a chat interface, simplifying the process and reducing technical setup requirements for developers.

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Velvet

Record, query, and train large language model requests with fine-grained data access, enabling efficient analysis, testing, and iteration of AI features.

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LLM Report

Track and optimize AI work with real-time dashboards, cost analysis, and unlimited logs, empowering data-driven decision making for developers and businesses.

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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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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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RunLLM

Learns from APIs, documentation, and community to provide detailed, specific answers, continually improving responses with usage patterns and feedback.

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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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SuperAnnotate

Streamlines dataset creation, curation, and model evaluation, enabling users to build, fine-tune, and deploy high-performing AI models faster and more accurately.

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LangChain

Create and deploy context-aware, reasoning applications using company data and APIs, with tools for building, monitoring, and deploying LLM-based applications.

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Meta Llama

Accessible and responsible AI development with open-source language models for various tasks, including programming, translation, and dialogue generation.

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AnythingLLM

Unlock flexible AI-driven document processing and analysis with customizable LLM integration, ensuring 100% data privacy and control.

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Replicate

Run open-source machine learning models with one-line deployment, fine-tuning, and custom model support, scaling automatically to meet traffic demands.

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Align AI

Analyze and understand conversational AI data in real-time, identifying problems and opportunities to improve human-AI interactions and drive informed decision-making.

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Glean

Provides trusted and personalized answers based on enterprise data, empowering teams with fast access to information and increasing productivity.