Creating an LLM-based chatbot that utilizes your company’s data is an exciting prospect for many enterprise developers. Imagine having a chatbot that can access your files, documents, and databases, and convert them into searchable embeddings that a large language model (LLM) can understand and reference. This chatbot would empower your executives, employees, and customers with instant and accurate information. However, bringing this vision to life is no easy task and requires careful consideration of each sector, enterprise, and specific use case.
Fortunately, there is a resource available for those eager to learn directly from leaders in enterprise tech and generative AI about how they are embarking on this journey and achieving powerful results. VB Transform, the premier event for enterprise generative AI, will be held in San Francisco on July 11th and 12th. During this event, a lunch roundtable discussion will be hosted on the topic of LLM-powered chatbots for the enterprise, and you are invited to attend.
Attending this exclusive discussion will provide you with invaluable strategies on how to create such a chatbot, as well as the opportunity to have your questions answered by knowledgeable experts. This discussion is just one of the nine roundtable sessions curated by the VentureBeat team and covers various topics in enterprise tech and AI.
VB Transform is the first independent event dedicated to generative AI for the enterprise, taking place in the heart of tech innovation: San Francisco. This city is home to OpenAI and recently hosted the Woodstock of AI event by Hugging Face. At VB Transform, you will have the chance to hear from influential business leaders and technologists, including representatives from Google Cloud, Amazon AWS, McDonald’s Corp, eBay, Wells Fargo, Slack, and many more.
Don’t miss out on this opportunity to network and gain insights from top tech names on how to power your business with generative AI. Register now for VB Transform to secure your spot. This event promises to provide practical advice and valuable knowledge that will unlock more value for your business today and in the future. I look forward to seeing you there.
Frequently Asked Questions (FAQs) Related to the Above News
What is an LLM-based chatbot?
An LLM-based chatbot is a chatbot that utilizes a large language model (LLM) to understand and reference your company's data. It can access files, documents, and databases and convert them into searchable embeddings, providing instant and accurate information to executives, employees, and customers.
Why is creating an LLM-based chatbot beneficial for enterprise developers?
Creating an LLM-based chatbot empowers enterprise developers to leverage their company's data and provide instant and accurate information to users. It improves efficiency, enhances customer experience, and enables better decision-making.
How can I learn more about creating an LLM-based chatbot?
You can learn more about creating an LLM-based chatbot by attending VB Transform, the premier event for enterprise generative AI. During the event, a lunch roundtable discussion will focus on LLM-powered chatbots. Attending this session will provide you with invaluable strategies and the opportunity to have your questions answered by knowledgeable experts.
When and where is VB Transform taking place?
VB Transform is taking place in San Francisco on July 11th and 12th. It is the first independent event dedicated to generative AI for the enterprise and is located in the heart of tech innovation.
Who will be speaking at VB Transform?
VB Transform will feature influential business leaders and technologists from companies such as Google Cloud, Amazon AWS, McDonald's Corp, eBay, Wells Fargo, Slack, and many more.
How can I register for VB Transform?
To secure your spot at VB Transform, you can register now on their website. This event promises to provide practical advice and valuable knowledge that will unlock more value for your business today and in the future. Don't miss out on this opportunity to network and gain insights from top tech names.
Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.
