Model Orchestration

EASLEY supports integration with diverse model providers and model loaders, providing the flexibility to choose the most suitable models for a given process. Central to this feature is EASLEY ‘s use of Intentions. These Intentions, equipped with internal logic, uses the most effective model for each specific task within your operations. Whether the need is for generating content using a foundational generative AI model or requesting an in-depth analysis from a prediction model, EASLEY ensures the best available model is used. This feature extends its support to also include cloud models and on-premise models, ensuring that businesses can make their own decision on data sharing and setup.

This feature not only simplifies the implementation of multiple AI models but also optimizes their usage. By orchestrating the use of different models based on the intentions, EASLEY enables businesses to harness the full potential of AI. This ensures seamless operation, accurate results, and enhanced productivity, making Easley an indispensable partner in your digital transformation journey.

Data Preparation

The value of data is essential to a modern business. EASLEY understands this and has designed its features to ensure that businesses maintain ownership and control of their data. EASLEY uses filtering, semantic ingestion, and data indexing to prepare data sources internally for usage without sharing the data with an external provider.

With EASLEY, businesses do not need to share raw data with the model provider. Instead, EASLEY processes the data internally, ensuring that only the data prepared and intended to be shared is transmitted. This approach not only maintains data privacy but also streamlines the sharing process, reducing unnecessary data exposure. EASLEY ingest data in both terms of semantics vectors but is also able to do logical interpretations that makes it more valuable in the intended usage. The system processes the data, understands its semantics, and prepares it for use, all while businesses retain full data ownership.

When needed, EASLEY supports knowledge retrieval to identify and prepare relevant data to the specific use case and instruction.

Context Manager

When communicating with a model, maintaining context is crucial for meaningful and effective dialogues. The Context Manager in EASLEY addresses this need by ensuring the retention and intelligent utilization of loaded information within a single conversation.

The Context Manager significantly enhances the conversational intelligence of the AI models. When data is loaded from the database, it is kept within the context of the ongoing conversation. The Context Manager essentially equips the AI model to “remember” and “learn” within the scope of a single conversation, making it more responsive and adaptive.

Zero-Shot Classification

In the fast-paced digital world, businesses are often faced with the challenge of making sense of vast amounts of unstructured data. EASLEY’s Zero-Shot Classification feature provides a powerful solution to this issue.

Through data processing, the Zero-Shot Classification tool enables EASLEY to utilize AI to classify and categorize unstructured data without any prior training and later use this categorization for both providing inputs to decision-making, but also to select patterns in automized processes.

This feature is particularly useful in scenarios where data is dynamic and constantly evolving. Whether it’s customer feedback, social media comments, or market research data, Zero-Shot Classification can quickly categorize the patterns, turning the unstructured information into structured classes usable for analysis, process control and more.

Priming and Prompt-tuning

The landscape of AI models is dynamic and ever-evolving. Building models from scratch or fine-tuning existing ones is costly and time-consuming. By the time a new model is ready, a better and more updated version is often already available in the market. Moreover, if the business landscape changes, such as new laws, processes, or better data opportunities, the model creation or fine-tuning process would need to start over. This constant cycle can be a significant drain on resources.

EASLEY primes the model, which is both more efficient and flexible. Each Intention in EASLEY has a specialized prompt, that uses relevant instructions, information, and tuning of user input to ensure the model provides the best response. Priming makes it easy to change the worldview of the model and keep it aligned with the business, as the business evolve and its market change, because through EASLEY the model’s knowledge is an independent data set.

EASLEY provides a flexible and efficient way to keep your AI models updated and relevant always supporting businesses to keep their edge in the market.

No Vendor Lock-in

AI is a fast-evolving field, where new state-of-the-art models are released half a year. The future concerning price, capabilities and requirements of AI-models are unknown, but will change for sure. Being depended on one model pose a risk of falling behind and the business might miss exploiting the newest possibilities. True business independence is achieved when a company can make strategic decisions without being constrained by its suppliers. EASLEY embodies this principle by ensuring businesses are not tied down to a specific model provider. Instead, EASLEY seamlessly integrates with various providers while retaining prompts, governance, and data within its platform. With EASLEY, they keep their flexibility to adapt to changing technological landscapes without constraints.

This approach empowers businesses to pivot and leverage the latest AI advancements without dependencies. They can confidently navigate and scale with changes in technology, regulations, and business needs, ensuring they remain agile and competitive in the dynamic digital world.