Leobit
Lviv, Ukraine, June 2024 — Leobit, a .NET, AI, and web software development company, participated in the Finnish-Ukrainian Tech Day in Espoo, Finland. The conference, which took place on May 30 and was dedicated to AI, software development, and scale-ups, aimed to explore collaboration opportunities and foster partnerships between Ukrainian software development companies and Finnish tech startups, SMBs, and entrepreneurs.
Leobit was represented by a leadership team, including Oleksa Stelmakh, the company’s CEO and Founder, Artem Matsa, Business Development Director, Iryna Troshchynska, Marketing Director, and Kateryna Ilnytska, Business Development Manager. As one of the event sponsors, Leobit hosted a booth where participants could learn more about our company, speak with our representatives, and engage with our custom AI-powered Sales Rep Assistant, Leora.
Oleksa Stelmakh, Founder and CEO of Leobit, took the stage as one of the conference speakers, addressing the topic of AI transformation using custom Large Language Model (LLM) solutions.
A custom corporate LLM solution is a specialized generative AI system designed to meet a company’s unique needs. It’s pre-trained on datasets specific to the organization, such as website information, internal wikis, case studies, emails, and call recordings. Through adjustments to model parameters and techniques like prompt engineering, this solution enhances the model’s performance, making it more effective for addressing specific tasks and requirements within the company.
Oleksa gave a keynote speech sharing insights on how the development of custom LLM can streamline companies’ operations or elevate their service. Here are the key takeaways from his speech:
- Properly trained custom LLM can know about your company as much as all your best representatives combined
- Building an effective LLM requires more than just feeding it all available digital information
- Overloading your LLM with too much data doesn’t make it smarter
- Implementing a custom LLM for sales email auto-responses eliminated the anxiety of missing important requests and helped us create a more structured process.
In addition, Oleksa showcased how AI can streamline business operations with Leobit’s real-life examples of using tools based on corporate LLM:
- Leo — AI sales email auto-response solution that helps efficiently manage and score inbound inquiries, streamlining the sales process and reducing the response time and effort required to qualify leads.
- Leora — AI-powered sales rep assistant that can provide suggestions to customer queries based on the company case studies and hands-on experience in various domains
- Leoslack — an internal LLM tool for the management of the employees’ questions using corporate guidelines
