Dr. Muddu Sudhakar, CEO of Aisera, discusses the challenges of using chatbots, the role of Micro LLMs, and impressive customer success stories with AI solutions. They also explore the distinction between chat bots and action bots, and the future of AI in business.
Enterprises need to train their GPTs within their own environments to maintain data security, trust, and responsibility.
Micro LLMs offer deep knowledge and understanding in narrower domains, providing end-to-end solutions for specific topics or intents.
Deep dives
Challenges of Extracting Value from Chat GPTs in Enterprises
The chat GPT has revolutionized AI and NLP, but enterprises face challenges in extracting value from these chatbots. The main pain points are accuracy and hallucinations. Enterprises need to train their GPTs within their own environments to maintain data security, trust, and responsibility. They also require domain-specific language models (LLMs) that understand industry-specific vocabulary, terminology, and unstructured data sources. Israel provides LLMs by industry, reducing hallucinations and improving accuracy at a lower cost. By offering customized LLMs and fine-tuning solutions, enterprises can optimize the benefits of chat GPT.
The Importance of Micro LLMs
Micro LLMs are specialized language models focused on specific topics or intents. While general-purpose LLMs like GPT can answer broad questions, micro LLMs offer deep knowledge and understanding in narrower domains. Israel uses an AI workflow engine to create action bots that go beyond knowledge articles and take actions based on the user's needs. These action bots use specific workflows and complex actions to provide end-to-end solutions, such as troubleshooting IT issues or solving customer service problems. The training and implementation of micro LLMs ensure high accuracy and efficiency, running on CPUs for cost-effectiveness.
Success Stories and Impressive Results with AI Solutions
Israel has achieved significant success with AI solutions for various industries, including banking, cybersecurity, retail, and healthcare. Their AI-powered bots have reduced operational expenses by up to 80% and improved revenue growth. For example, Israel has worked with banking customers like Dave Banking, providing a seamless mobile app experience for various banking transactions. Their bots handle account transfers, troubleshooting, and more. Companies such as Zoom, Gilead, Amgen, and Quizlet have also benefited from Israel's AI solutions, driving efficiency and enhancing user experiences.
The Future of AI in Business
The future of AI in business is promising and evolving. AI will continue to integrate with everyday business processes, facilitating decision-making and enhancing efficiency. Three key trends to watch are: the adoption of SRA GPTs in enterprise settings, the rise of co-pilots that assist users and automate tasks, and the development of custom micro LLMs for domain-specific needs. These trends will shape the AI landscape over the next five to ten years, enabling organizations to harness AI's potential and drive innovation.
Dive into the world of AI innovation with Dr. Muddu Sudhakar, CEO of Aisera and 2023 EY Entrepreneur of the Year, as he unveils the latest trends and transformations in the industry. Discover the role of Micro LLMs in shaping the future, understand the ethical challenges emerging in AI, and explore the societal impacts of these technologies. Dr. Sudhakar's insights offer a unique perspective on AI's evolving landscape, providing invaluable knowledge for enthusiasts and professionals alike. This exploration into AI's future with a leading expert is an unmissable journey for anyone fascinated by the field's dynamic progress.
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