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What is Symflower?

Symflower transforms the realm of software development by integrating static, dynamic, and symbolic analyses with Large Language Models (LLMs). This groundbreaking combination leverages the precision of deterministic analyses alongside the creative potential of LLMs, resulting in improved quality and faster software development. The platform is pivotal in selecting the most fitting LLM for specific projects by meticulously evaluating various models against real-world applications, ensuring they are suitable for distinct environments, workflows, and requirements. To address common issues linked to LLMs, Symflower utilizes automated pre-and post-processing strategies that improve code quality and functionality. By providing pertinent context through Retrieval-Augmented Generation (RAG), it reduces the likelihood of hallucinations and enhances the overall performance of LLMs. Continuous benchmarking ensures that diverse use cases remain effective and in sync with the latest models. In addition, Symflower simplifies the processes of fine-tuning and training data curation, delivering detailed reports that outline these methodologies. This comprehensive strategy not only equips developers with the knowledge needed to make well-informed choices but also significantly boosts productivity in software projects, creating a more efficient development environment.

What is Deepchecks?

Quickly deploy high-quality LLM applications while upholding stringent testing protocols. You shouldn't feel limited by the complex and often subjective nature of LLM interactions. Generative AI tends to produce subjective results, and assessing the quality of the output regularly requires the insights of a specialist in the field. If you are in the process of creating an LLM application, you are likely familiar with the numerous limitations and edge cases that need careful management before launching successfully. Challenges like hallucinations, incorrect outputs, biases, deviations from policy, and potentially dangerous content must all be identified, examined, and resolved both before and after your application goes live. Deepchecks provides an automated solution for this evaluation process, enabling you to receive "estimated annotations" that only need your attention when absolutely necessary. With more than 1,000 companies using our platform and integration into over 300 open-source projects, our primary LLM product has been thoroughly validated and is trustworthy. You can effectively validate machine learning models and datasets with minimal effort during both the research and production phases, which helps to streamline your workflow and enhance overall efficiency. This allows you to prioritize innovation while still ensuring high standards of quality and safety in your applications. Ultimately, our tools empower you to navigate the complexities of LLM deployment with confidence and ease.

Media

Media

Integrations Supported

Amazon SageMaker
Claude Haiku 3
Codestral
Cohere
Command R+
GPT-4 Turbo
JUnit
Le Chat
Llama 3
Mathstral
Meta AI
Ministral 3B
Mistral 7B
Mistral AI
Mistral Large
Mistral NeMo
Mistral Small
Mixtral 8x22B
Mixtral 8x7B
Pixtral Large

Integrations Supported

Amazon SageMaker
Claude Haiku 3
Codestral
Cohere
Command R+
GPT-4 Turbo
JUnit
Le Chat
Llama 3
Mathstral
Meta AI
Ministral 3B
Mistral 7B
Mistral AI
Mistral Large
Mistral NeMo
Mistral Small
Mixtral 8x22B
Mixtral 8x7B
Pixtral Large

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$1,000 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Symflower

Date Founded

2018

Company Location

Austria

Company Website

symflower.com

Company Facts

Organization Name

Deepchecks

Date Founded

2019

Company Location

United States

Company Website

deepchecks.com

Categories and Features

Software Testing

Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing

Categories and Features

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