There is a growing demand for generative AI and related applications that allow enterprises to create and own their models without paying API access fees or sharing data with LLM providers. This is because the usage of models, such as OpenAI’s ChatGPT, is dependent on APIs. For some enterprises, this dependence can cause compliance, governance or data security issues associated with the APIs. Databricks released Dolly 2.0, a text-generating AI model that can power apps like chatbots, text summarizers and basic search engines. This open source-based large language model (LLM) will allow enterprises to build, train and own AI-powered chatbots and other productivity apps using their own proprietary data sets; Dolly 2.0 could revolutionize enterprise usage of AI technologies. In this session, we will talk about how enterprise can train and deploy these models on their own infra.

Presented by:

Subhrajit Mohanty (Vice President of Engineering, Katonic.ai)  has over 15 years of experience in software engineering, he is a seasoned technology leader with a passion for innovation and a track record of driving successful product development initiatives. In his current role at Katonic.ai, Subhrajit oversees the engineering team responsible for developing and deploying AI-based solutions that help businesses improve their operations and achieve their goals. He is a hands-on leader who is dedicated to building a strong engineering culture and fostering innovation across the organization. He is also an active member of the AI community, frequently speaking at industry events and contributing to open-source projects.

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