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Average Ratings 0 Ratings
Description
Customers are required to provide high-quality services while minimizing expenses and maintaining business agility. Modern applications, whether deployed on-premises or in the cloud, and regardless of being monolithic or microservices-based, present a complex landscape with thousands of parameters and numerous instance types that must be adjusted to pinpoint the ideal configuration for balancing performance, resilience, and cost-effectiveness. With Akamas, clients can articulate their specific optimization objectives and constraints, such as service level objectives (SLOs), enabling them to optimize their applications and IT infrastructures effectively. Users of Akamas can experience significant advantages, including a 60% reduction in infrastructure and cloud costs without sacrificing application performance, a 30% boost in transactions per second using the same resources, a 70% reduction in response times while minimizing peaks and fluctuations, and an impressive 80% savings in tuning time. Ultimately, Akamas' AI-driven optimization empowers organizations and online enterprises to enhance service quality, bolster resilience, and achieve substantial cost reductions, paving the way for a more efficient operational framework.
Description
LLaMA-Factory is an innovative open-source platform aimed at simplifying and improving the fine-tuning process for more than 100 Large Language Models (LLMs) and Vision-Language Models (VLMs). It accommodates a variety of fine-tuning methods such as Low-Rank Adaptation (LoRA), Quantized LoRA (QLoRA), and Prefix-Tuning, empowering users to personalize models with ease. The platform has shown remarkable performance enhancements; for example, its LoRA tuning achieves training speeds that are up to 3.7 times faster along with superior Rouge scores in advertising text generation tasks when compared to conventional techniques. Built with flexibility in mind, LLaMA-Factory's architecture supports an extensive array of model types and configurations. Users can seamlessly integrate their datasets and make use of the platform’s tools for optimized fine-tuning outcomes. Comprehensive documentation and a variety of examples are available to guide users through the fine-tuning process with confidence. Additionally, this platform encourages collaboration and sharing of techniques among the community, fostering an environment of continuous improvement and innovation.
API Access
Has API
API Access
Has API
Integrations
ChatGLM
DeepSeek
Gemma
LLaVA
Llama
Llama 3
MLflow
Mistral AI
Mixtral 8x22B
Mixtral 8x7B
Integrations
ChatGLM
DeepSeek
Gemma
LLaVA
Llama
Llama 3
MLflow
Mistral AI
Mixtral 8x22B
Mixtral 8x7B
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
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
Akamas
Founded
2019
Country
Italy
Website
akamas.io
Vendor Details
Company Name
hoshi-hiyouga
Website
github.com/hiyouga/LLaMA-Factory
Product Features
Application Performance Monitoring (APM)
Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions