Kore forecasts GALE in new flurry of gen-AI
Generative and conversational AI platform company Kore has announced GALE (Generative AI and LLM Platform for Enterprises).
This is a technology used to build generative AI (GenAI) applications with a no-code toolset and visual interface.
GALE offers enterprises a way to experiment with multiple models and prompts. It can be used to build and deploy AI agents for the first time, making it easy for developers without specialised AI talent.
Powered by the Kore platform, GALE promises to simplify AI application development with rapid prototyping.
It integrates into an enterprise ecosystem supporting large-scale AI implementations.
“The launch of transformer models [is] leaving enterprises wondering where to start and how to [use] advanced AI,” said Kore CEO and founder Raj Koneru. “GALE addresses the fragmentation and limitations within the current ecosystem. It’s a cohesive platform integrating core AI app-building functionalities with built-in guardrails. None of the hyperscalers or other GenAI app providers offer [users] an end-to-end capability to experiment with a range of LLM or SLM models to develop, deploy and manage sophisticated GenAI apps. GALE does.”
As IBM reminds us (in relation to Koneru’s mention of transformer models), “A transformer model is a type of deep learning model that was introduced in 2017. These models have quickly become fundamental in natural language processing (NLP), and have been applied to a wide range of tasks in machine learning and artificial intelligence.
Capitalisation-focused GPU company Nvidia calls transformer models a “neural network” that learns context (and thus meaning) by tracking relationships in sequential data… just like the words in this sentence.
A drag-&-drop no-code flow-builder
Kore features a no-code flow-builder and drag-and-drop interface enable the quick creation of complex workflows, apps and AI agents, reducing dependency on specialised technical resources.
Model Hub provides businesses with centralised access to over 30 AI models (community, open-source or fine-tuned), for refining and fine-tuning them to suit specific business needs. AI Agents automate complex tasks and workflows, increasing operational efficiency and allowing businesses to focus on strategic initiatives. Prompt Studio offers a playground for developers to craft the right prompts, allowing businesses to move from ideas to production faster.
“As enterprise adoption of gen-AI picks up pace, organisations are looking to achieve faster time to value from AI initiatives. They need platforms that offer an easy way to experiment, build, deploy, and scale AI agents and applications,” said Vaibhav Bansal, vice president, Everest Group. “Typical platform features include an AI/ML orchestration layer for efficient model management, the ability to seamlessly connect with enterprise data, a low-code interface and an application development layer for deploying AI agents or apps. Beyond these, enterprises need access to the best-performing foundation models, provision to bring their own models, guardrails to ensure fairness and data security, the ability to finetune models on enterprise data, and pre-configured gen-AI libraries and frameworks for different use cases. Enterprise-grade gen-AI platforms that support such features promise an exciting future and have the potential to be the one-stop suite for all enterprise AI needs.”
GALE is an enterprise-grade platform agnostic to LLM models, cloud infrastructure, and applications. With prebuilt templates and out-of-box integrations, it triggers enterprise-wide automation through gen-AI use cases.