Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Oumi is an entirely open-source platform that enhances the complete lifecycle of foundation models, encompassing everything from data preparation and training to evaluation and deployment. It facilitates the training and fine-tuning of models with parameter counts ranging from 10 million to an impressive 405 billion, utilizing cutting-edge methodologies such as SFT, LoRA, QLoRA, and DPO. Supporting both text-based and multimodal models, Oumi is compatible with various architectures like Llama, DeepSeek, Qwen, and Phi. The platform also includes tools for data synthesis and curation, allowing users to efficiently create and manage their training datasets. For deployment, Oumi seamlessly integrates with well-known inference engines such as vLLM and SGLang, which optimizes model serving. Additionally, it features thorough evaluation tools across standard benchmarks to accurately measure model performance. Oumi's design prioritizes flexibility, enabling it to operate in diverse environments ranging from personal laptops to powerful cloud solutions like AWS, Azure, GCP, and Lambda, making it a versatile choice for developers. This adaptability ensures that users can leverage the platform regardless of their operational context, enhancing its appeal across different use cases.
Description
Trismik serves as a platform for evaluating AI models, aimed at assisting teams in selecting the most suitable large language model tailored to their unique needs by utilizing actual data rather than mere assumptions or standard benchmarks. The platform emphasizes transforming the process of model experimentation into straightforward, evidence-based choices by giving users the ability to test and contrast various models directly with their own datasets, avoiding the pitfalls of public leaderboards or limited manual evaluations. Alongside this, it features innovative tools like QuickCompare, which allows for side-by-side assessments of over 50 models across essential metrics such as quality, cost, and speed, thus rendering trade-offs visible and quantifiable in practical scenarios. Additionally, Trismik employs adaptive evaluation methods inspired by psychometrics, which intelligently select the most informative test cases and automatically assess outputs across multiple dimensions, including factual accuracy, bias, and reliability, ensuring a comprehensive evaluation process. This holistic approach not only enhances the decision-making process but also empowers teams to make informed choices that align with their specific operational requirements.
API Access
Has API
API Access
Has API
Integrations
AWS Lambda
Amazon Web Services (AWS)
DeepSeek
Google Cloud Platform
Google Sheets
Hugging Face
JSON
Llama
Microsoft Azure
Microsoft Excel
Integrations
AWS Lambda
Amazon Web Services (AWS)
DeepSeek
Google Cloud Platform
Google Sheets
Hugging Face
JSON
Llama
Microsoft Azure
Microsoft Excel
Pricing Details
Free
Free Trial
Free Version
Pricing Details
$9.99 per month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Oumi
Founded
2024
Country
United States
Website
oumi.ai/
Vendor Details
Company Name
Trismik
Country
United States
Website
trismik.com