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Understanding AI, ML, and LLMs with Jigyasa Grover
In this episode of Women and AI your hosts Reut, Jenny, and Lana interview Jigyasa Grover, an AI research lead and co-author of the book 'Sculpting Data for Machine Learning'. This episode provides a technical deep dive into AI. We discuss the differences between AI, ML, and LLMs, the use of large language models in AI systems, and the importance of ethics and human-centered design in AI development. Jigyasa shares her experience as a woman in the AI field and the need for diversity and inclusion. She recommends AI products like Gemini, Grammarly, and Copilot, and discusses the future of AI in various industries.
Join us on this journey to celebrate, educate, and empower women in AI.
Takeaways
AI engineers develop systems that can learn and make decisions without explicit programming.
AI can be thought of as a broad field that encompasses various techniques for creating machines that can mimic human intelligence.
ML is a subfield of AI that focuses on developing algorithms that allow machines to learn from data.
LLMs are machine learning models designed to understand and generate human-like text.
Python is the dominant language for LLM development, while JavaScript and TypeScript are used for web interfaces.
Ethics and human-centered design are crucial in AI development to ensure fairness, privacy, and trust.
AI adoption is expected to continue growing across industries, with a focus on ethical and responsible AI practices.
Collaboration, networking, and community engagement are important for women in the AI field.
Recommended AI products: Gemini, Grammarly, and Copilot.
Chapters
00:00 Introduction and Welcome
00:55 Guest Introduction: Jigyasa Grover
04:43 Tools and Libraries for AI Development
07:31 Evaluating AI Models
12:07 AI in Various Industries
14:13 Bridging the Gender Gap in the AI Field
21:02 Integration of AI into Everyday Life
23:28 Inspiring Women in AI: Dr. Fei-Fei Li
25:04 Risks and Considerations in Using AI
26:48 The Future of AI
29:57 Recommended AI Products
32:15 Women in AI Listener Support
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By Lana Dubinskiy, Reut Lazo, Jenny Kay Pollock
5
88 ratings
In this episode of Women and AI your hosts Reut, Jenny, and Lana interview Jigyasa Grover, an AI research lead and co-author of the book 'Sculpting Data for Machine Learning'. This episode provides a technical deep dive into AI. We discuss the differences between AI, ML, and LLMs, the use of large language models in AI systems, and the importance of ethics and human-centered design in AI development. Jigyasa shares her experience as a woman in the AI field and the need for diversity and inclusion. She recommends AI products like Gemini, Grammarly, and Copilot, and discusses the future of AI in various industries.
Join us on this journey to celebrate, educate, and empower women in AI.
Takeaways
AI engineers develop systems that can learn and make decisions without explicit programming.
AI can be thought of as a broad field that encompasses various techniques for creating machines that can mimic human intelligence.
ML is a subfield of AI that focuses on developing algorithms that allow machines to learn from data.
LLMs are machine learning models designed to understand and generate human-like text.
Python is the dominant language for LLM development, while JavaScript and TypeScript are used for web interfaces.
Ethics and human-centered design are crucial in AI development to ensure fairness, privacy, and trust.
AI adoption is expected to continue growing across industries, with a focus on ethical and responsible AI practices.
Collaboration, networking, and community engagement are important for women in the AI field.
Recommended AI products: Gemini, Grammarly, and Copilot.
Chapters
00:00 Introduction and Welcome
00:55 Guest Introduction: Jigyasa Grover
04:43 Tools and Libraries for AI Development
07:31 Evaluating AI Models
12:07 AI in Various Industries
14:13 Bridging the Gender Gap in the AI Field
21:02 Integration of AI into Everyday Life
23:28 Inspiring Women in AI: Dr. Fei-Fei Li
25:04 Risks and Considerations in Using AI
26:48 The Future of AI
29:57 Recommended AI Products
32:15 Women in AI Listener Support