Introducing All-new GALE Platform¶
GALE is a new platform for building LLM-powered AI agents. It offers tools to create Gen AI agents quickly. These agents can easily fit into your current systems and workflows.
You don't need to be an AI expert to use GALE. It has ready-to-use AI models and simple tools. The platform uses a drag-and-drop interface. This makes it easy to create and deploy custom AI agents. GALE offers both open-source and commercial AI models. You can fine-tune these models as needed. The platform lets you chain workflows and set up guardrails without coding. When your AI agent is ready, GALE helps you deploy it using an API.
Key Components¶
Agents, Models, and Playground are the key components of GALE that work together to enable businesses to leverage AI capabilities effectively.
Agents allow you to create AI-powered workflows and automation with little to no coding required. Using a visual drag-and-drop interface, you can easily configure settings and combine multiple complex workflows. Guardrails ensure the models within these workflows operate responsibly, adhering to societal norms and your business requirements. The agents can seamlessly integrate with AWS, expanding the range of use cases. This user-friendly approach empowers you to leverage AI capabilities across various applications without extensive technical expertise.
Models are the core of GALE. Based on your needs, you can choose from fine-tuned, commercial, or open-source AI models. Once you've selected the right models, you can easily integrate them into your AI agents. Guardrails ensure the models generate outputs responsibly and follow defined constraints. Additionally, you can deploy these AI agents via API endpoints and integrate them with your existing systems as required.
GALE's Prompt Playground allows you to experiment and refine prompts to get the best performance from AI models. You can test different prompts across various models - external, fine-tuned, or open-source. The Playground helps you identify the ideal model and configurations for each prompt through an iterative process. This streamlined workspace enables you to optimize prompts rapidly for maximum model effectiveness.
Comprehensive Platform for AI Operations¶
The diagram below shows GALE's comprehensive AI platform. The platform manages AI agents, models, and data integrations. It offers tools for development, deployment, and monitoring. The image also illustrates how GALE connects with external systems and users. This creates a complete ecosystem for AI operations.
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LLM OPS: Includes Auto Scaling, Security, Observability, Monitoring, and Analytics.
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Your Agents: Features Prompt Engineering, No-Code Builder, Debug, Deploy, and Version Control capabilities.
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Your Models: Offers Fine-Tuning, Reinforcement Learning, Deploy, and Version Control options.
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Foundational Models: Includes Commercial Models and Community Models.
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Data Connectors: Consists of API Nodes and Pre-built Integrations.
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REST API: Connects GALE to Your Systems.
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Kore Solutions: Interfaces with Your Users.
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Your Systems: Interact with GALE through the REST API.
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Your Users: Access GALE via Kore Solutions.
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Your Data: Connect your data to GALE.
- Search AI and XO Platform are part of the broader ecosystem.
Deployment of AI at Scale¶
GALE provides enterprise-grade features to deploy AI at scale:
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Security: Your data and intellectual property are protected by robust security measures.
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Scalability: As your AI applications grow and user numbers increase, GALE automatically scales to meet demand while maintaining consistent performance.
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Flexible Deployment: Based on your organization's preferences, you can deploy AI models on the cloud or on-premises infrastructure.
With GALE's enterprise-ready capabilities, you can confidently scale your AI adoption while ensuring data security, reliable performance, and deployment flexibility to suit your unique business needs.