Eric Boyd, Corporate Vice President of AI at Microsoft, shares how organizations can leverage AI for faster development. He discusses the benefits of using natural language to build products and the future of version control. Eric mentions some foundational models in Azure AI and their capabilities.
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Quick takeaways
The podcast discusses the potential of large language models in building real production-ready systems and the impact of OpenAI's API release in democratizing access to these models.
The podcast introduces Azure AI Studio as a tool that simplifies the development process for building applications with large language models and provides features like prompt flow for iterative testing and fine-tuning.
Deep dives
Large language models as a foundation for AI
The podcast discusses the evolution and impact of large language models, starting with Word2Vec and the ability to encode words and phrases numerically. OpenAI's API release in 2020 democratized access to large language models, enabling various use cases. The speaker highlights the potential for building real production-ready systems using these models.
Technology and tools for deploying large language models
The podcast explores the technology and tools available for deploying large language models. One key aspect is semantic search, which allows the model to reason over custom data and provide relevant answers. The use of vector searches and search indexes are highlighted as crucial components of the deployment stack. Tools like Azure AI Studio and Promptflow are discussed for managing the development process and optimizing prompts and responses.
Addressing hallucinations and fine-tuning
The podcast delves into some challenges and techniques related to hallucinations and fine-tuning in large language models. While hallucinations are rare, reinforcement learning with human feedback has helped minimize them. Fine-tuning is useful for changing output style, but to introduce new facts, prompts with a retrieval-like manner generation approach are recommended.
Azure AI Studio and the simplified development process
The podcast introduces Azure AI Studio, a tool that simplifies the development process for building applications with large language models. It provides a single platform to manage different technologies and offers a code-first experience while also supporting no-code or low-code options. The end result is an API endpoint that hosts the model, and additional features like prompt flow facilitate iterating, testing, and measuring responses to fine-tune the application.
Our guest today is Eric Boyd, the Corporate Vice President of AI at Microsoft. Eric joins us to share how organizations can leverage AI for faster development.
Eric shared the benefits of using natural language to build products. He discussed the future of version control and the level of AI background required to get started with Azure AI. He mentioned some foundational models in Azure AI and their capabilities. Follow Eric on LinkedIn to learn more about his work.
Visit today's sponsor at https://webai.com/dataskeptic
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