Data is often unstructured, various data formats and scattered in different locations, making it difficult to prepare automated data for LLM training.
Many enterprises lack the expertise or subject matter expert to effectively train LLMs, leading to suboptimal results.
Traditional LLM training processes can be time-consuming and spending extra effort to iteration training methodologies.
LLMs may produce outputs that are irrelevant, incorrect, or lack of domain knowledge in a confident manner.
Develop AI solutions optimized for low-resource or regional languages to serve local markets.
Deliver data-driven financial forecasts and marketing strategies using local data lake and web-searched data.
Enable instant communication in low-resource languages for global operations, bridging language barriers for diverse, international teams.
Gauge customer sentiment from communications or feedback in multiple languages.
Deploy chatbots for 24/7 customer service to create bookings & answer frequently-asked questions.
We offer a variety of LLM deployment options to perfectly match your enterprise AI strategy. Deploy your custom LLM in the cloud, on-premises, or in a hybrid environment. MAGIC agent training platform also offers customisable guardrails to ensure LLM privacy.
Access our powerful LLM training platform through leading cloud providers.
For organisations where data privacy for LLMs and ultimate control are non-negotiable, Votee MAGIC offers on-premise LLM deployment.
Fully customisable LLM guardrails, putting you in complete command of your private LLM and AI agent teams.
