Large Language Models in Business with Ulrika Hedlund
Nov 8, 2023
auto_awesome
Ulrika Hedlund, an expert in large language models, discusses the challenges of using these models in business organizations. She highlights the risks of employees using models like ChatGPT and suggests using secure alternatives like Bing Chat Enterprise. Ulrika also mentions the benefits of Microsoft 365 Copilot for indexing company data. Training and data protection management are crucial, but productivity gains can be significant.
Implement Bing Chat Enterprise to protect sensitive company data when utilizing large language models like ChatGPT.
Proper training and user awareness are crucial for effectively utilizing AI-powered language models in the workplace.
Deep dives
The Power of AI-Based Tools in Productivity
AI-based tools such as M365 co-pilot and Bingchat Enterprise are game-changing in terms of productivity. They offer the ability to work smarter and more efficiently by leveraging large language models. However, users must be aware that not everything generated by these tools should be taken as fact, and proper training is necessary to effectively utilize them. These tools can be particularly impactful in various workflows such as meeting summaries, document summarization, creative writing, and even due diligence tasks. Businesses should consider implementing Bingchat Enterprise first to protect sensitive data, as it provides insights from the internet without accessing internal information. Organizations should also focus on information architecture, data labeling, and access control to ensure the maximum potential of these tools.
Raising Awareness and Training for Successful Adoption
As large language models become a prevalent tool in the workplace, it is crucial to raise awareness and provide comprehensive training. Organizations should form a diverse focus group consisting of users from different departments to explore and understand the potential applications and benefits. Additionally, individuals should have the opportunity to apply for co-pilot licenses by submitting a business case, which enables their active participation and commitment. To ensure successful adoption, it is important to create a give-and-take approach where users invest their time and knowledge while receiving access to these powerful tools. Employees need to recognize the value of these tools, participate in mandatory training, and understand the importance of creating high-quality prompts and providing accurate feedback for optimal results.
Enhancing Quality and Productivity with AI-Based Tools
The implementation of large language models like M365 co-pilot can lead to improvements in both productivity and output quality. While increased productivity can be achieved due to faster completion of tasks, it is essential to consider how the extra time gained can be utilized effectively. Moreover, these tools enhance the quality of work produced, allowing for better sales pitches, summaries, customer service, and other tasks. AI-powered language models also have the potential to produce content in multiple languages simultaneously, unlocking new possibilities for global communication and collaboration. The pricing of these tools, such as the $30 per user per month for co-pilot, is highly reasonable considering the significant productivity and quality enhancements they offer.
Maximizing the Value of AI for Different Workflows
AI-based tools like co-pilot and Bingchat Enterprise can be leveraged across various workflows, ranging from creative writing and content generation to due diligence and document summarization. These tools act as powerful assistants, offering users suggestions and insights based on their specific needs. For example, co-pilot helps by asking the right questions, providing prompts, and refining initial inputs. However, users should be aware that expertise and skills are still required to obtain the desired outcomes. Users must understand the strengths and limitations of these tools, provide proper guidance, and critically evaluate the generated content. With constant training, users can learn to prompt effectively and make the most of these powerful AI tools in their day-to-day work.
How do large language models fit into your organization? Richard chats with Ulrika Hedlund about the challenges sysadmins face with large language models in their company. Ulrika talks about how employees are already using large language models like ChatGPT - potentially risking leaking company data. Tools like Bing Chat Enterprise bring the same capabilities as ChatGPT but with a focus on keeping company data secure. Once you're comfortable with Bing Chat, you can explore Microsoft 365 Copilot, which can index company data as part of its model. Training is essential, as is good data protection management, but the productivity benefits can be huge!
