Question: I need a system that can overcome bias and error in machine learning systems, do you know of any options?

Deepchecks screenshot thumbnail

Deepchecks

Deepchecks is a good option for developers who want to build LLM applications with high quality. It automates testing, spots problems like hallucinations, bias and toxic content, and fixes them. With its "Golden Set" approach and multiple pricing levels, Deepchecks can help ensure quality and reliability from development to deployment.

LastMile AI screenshot thumbnail

LastMile AI

For a broader foundation, LastMile AI has a full-stack developer platform to help engineers productionize generative AI applications. It includes tools like Auto-Eval to detect hallucinations, RAG Debugger to optimize performance, and AIConfig to manage versioning and prompt optimization. The platform supports many AI models and offers a lot of documentation to make AI easier to deploy.

Dataloop screenshot thumbnail

Dataloop

Another powerful option is Dataloop, which handles data curation, model management and pipeline orchestration to speed up AI app development. It automates preprocessing, model deployment and human feedback integration so it's easier to manage and improve AI models. Dataloop supports many types of data and has strong security controls, so you can expect high quality and security.

Humanloop screenshot thumbnail

Humanloop

For a more collaborative approach, Humanloop is geared to optimize Large Language Model development with workflow automation and collaboration tools. It offers a prompt management system, evaluation and monitoring suite, and customization tools to fine-tune models. Humanloop supports popular LLM providers and offers integration SDKs so it's easy to use, and it's geared for product teams and developers.

Additional AI Projects

Openlayer screenshot thumbnail

Openlayer

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

AnyModel screenshot thumbnail

AnyModel

Compare and combine outputs from multiple top AI models in parallel, detecting hallucinations and biases, and selecting the best model for your needs.

MLflow screenshot thumbnail

MLflow

Manage the full lifecycle of ML projects, from experimentation to production, with a single environment for tracking, visualizing, and deploying models.

Appen screenshot thumbnail

Appen

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

Lamini screenshot thumbnail

Lamini

Rapidly develop and manage custom LLMs on proprietary data, optimizing performance and ensuring safety, with flexible deployment options and high-throughput inference.

Braintrust screenshot thumbnail

Braintrust

Unified platform for building, evaluating, and integrating AI, streamlining development with features like evaluations, logging, and proxy access to multiple models.

Abacus.AI screenshot thumbnail

Abacus.AI

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

Clarifai screenshot thumbnail

Clarifai

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

Expert.ai screenshot thumbnail

Expert.ai

Automates business processes by extracting and enriching key information from unstructured documents with high accuracy and explainability across multiple languages.

ThirdAI screenshot thumbnail

ThirdAI

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

Predibase screenshot thumbnail

Predibase

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

Hebbia screenshot thumbnail

Hebbia

Process millions of documents at once, with transparent and trustworthy AI results, to automate and accelerate document-based workflows.

Dayzero screenshot thumbnail

Dayzero

Hyper-personalized enterprise AI applications automate workflows, increase productivity, and speed time to market with custom Large Language Models and secure deployment.

Freeplay screenshot thumbnail

Freeplay

Streamline large language model product development with a unified platform for experimentation, testing, monitoring, and optimization, accelerating development velocity and improving quality.

Numenta screenshot thumbnail

Numenta

Run large AI models on CPUs with peak performance, multi-tenancy, and seamless scaling, while maintaining full control over models and data.

Klu screenshot thumbnail

Klu

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

Weights & Biases screenshot thumbnail

Weights & Biases

Tracks and optimizes machine learning experiments, models, and collaborations, streamlining development and reproducibility across the entire ML workflow.

Jina screenshot thumbnail

Jina

Boost search capabilities with AI-powered tools for multimodal data, including embeddings, rerankers, and prompt optimizers, supporting over 100 languages.

BigID screenshot thumbnail

BigID

Scalable and accurate discovery and classification of sensitive data across all environments, accelerating data security and privacy with AI-powered tools.

Parallel AI screenshot thumbnail

Parallel AI

Select and integrate top AI models, like GPT4 and Mistral, to create knowledgeable AI employees that optimize workflow and boost productivity.