Omniscien webinar
The Future of Language Related AI for Enterprises: Local Agents and Fine-Tuned Large Language Models (LLMs)
The webinar was organised by Omniscien.
Artificial Intelligence (AI) has fundamentally reshaped our understanding and processing of human language, led by Large Language Models (LLMs) and AI agents. These powerful systems comprehend and generate human-like text using deep learning techniques and vast datasets while agents use natural language processing (NLP) to interact with their environments. However, the one-size-fits-all training approach, as evidenced by OpenAI's ChatGPT and Google's Bard, often hampers task-specific proficiency and organizational knowledge and poses data privacy and compliance risks.
Addressing these concerns involves refining AI models with affordable fine-tuning tools tailored to unique application requirements, allowing businesses to quickly adapt AI models with their proprietary data, securely processing requests within their corporate networks. Furthermore, using natural language APIs atop tailored AI models can enable secure self-hosted agents to interact with an extensive, curated toolkit, performing tasks like image generation, text summarisation, audio-video transcription and analysis, text-to-speech conversion, document-based Q&A, and generation of organization-specific content.
Amid the overwhelming noise around AI, this webinar aims to clarify the state of relevant technologies. Omniscien's AI experts will share their vision of a promising enterprise AI future powered by fine-tuning tools and natural Language APIs, reinforced by secure, self-hosted agents, and will showcase the existing and future features of Omniscien's Language Studio platform to illustrate what is already achievable.
Location
- Online
Links
Speakers
- Professor Philipp Koehn, Chief Scientist at Omniscien and Professor at Johns Hopkins University
- Dion Wiggins, Chief Technology Officer at Omniscien