Description: Dive deeper into the research behind Dr. Rezun reflections on navigating context engineering with this AI-generated discussion. This episode of "From Lab to Life" presents an engaging conversational exploration of the extensive research materials used to create the article "From Prompts to Precision: The Art & Science of Context Engineering" Generated using Google's NotebookLM, this AI-powered discussion offers a unique perspective on LLM technology, covering insights and research findings that may not have made it into the final written article. Perfect for those who prefer audio learning or want to explore the topic through dynamic conversation rather than traditional reading.

What You'll Discover:

• In-depth exploration of research materials and thought processes used in creating this article
• Conversational insights into the context engineering
• Additional perspectives and findings from the original research

This content complements the original article "From Prompts to Precision: The Art & Science of Context Engineering" by Dr. Tali Režun, Vice Dean of Frontier Technologies at COTRUGLI Business School, offering another format to engage with complex AI concepts.

Article link: https://medium.com/@talirezun/from-prompts-to-precision-the-art-science-of-context-engineering-cebd47462b1c

From Lab to Life: https://medium.com/@talirezun

Follow Tali:

• X - https://x.com/talirezun
• LinkedIn: https://si.linkedin.com/in/talirezun
• Website: https://talirezun.com

Important Disclaimer: This podcast features audio generated by NotebookLM, a Google research tool and AI-powered research assistant, based on original research and notes provided by Dr. Tali Režun. The content, including all discussions, insights, and audio elements, is experimental in nature and produced using AI technology. While every effort has been made to ensure accuracy, AI-generated material may contain errors, omissions, or interpretations that do not fully reflect the complexities of the source research. Listeners are strongly encouraged to independently verify all facts, claims, and information presented through reliable sources and conduct their own research before relying on any content. This podcast is for informational and educational purposes only and does not constitute professional advice, endorsement, or official statements from Dr. Tali Režun, Google, or any affiliated entities. No warranties, express or implied, are made regarding the completeness, accuracy, or suitability of the material. By listening, you acknowledge these limitations and assume full responsibility for any actions taken based on the podcast.

Description: Dive deeper into the research behind Dr. Rezun reflections on navigating humanity’s greatest transformation with this AI-generated discussion. This episode of "From Lab to Life" presents an engaging conversational exploration of the extensive research materials used to create the article "Are We Becoming Obsolete, or Finally Free?" Generated using Google's NotebookLM, this AI-powered discussion offers a unique perspective on LLM technology, covering insights and research findings that may not have made it into the final written article. Perfect for those who prefer audio learning or want to explore the topic through dynamic conversation rather than traditional reading.

What You'll Discover:

• In-depth exploration of research materials and thought processes used in creating this article
• Conversational insights into the future of jobs and human place in this AI-enhanced future
• Additional perspectives and findings from the original research

This content complements the original article "Are We Becoming Obsolete, or Finally Free?" by Dr. Tali Režun, Vice Dean of Frontier Technologies at COTRUGLI Business School, offering another format to engage with complex AI concepts.

Clarification: This episode discusses the evolving landscape of AI. We want to clarify a point made by the AI in the podcast: The claim that "English is a new programming language" is a concept popularized by AI expert Andrej Karpathy, not a statement from our research. It refers to the idea of using natural language prompts to "program" large language models, a key part of what Karpathy calls Software 3.0.

Article link: https://medium.com/@talirezun/are-we-becoming-obsolete-or-finally-free-ed66a2ddc9a4

From Lab to Life: https://medium.com/@talirezun

Follow Tali:

• X - https://x.com/talirezun
• LinkedIn: https://si.linkedin.com/in/talirezun
• Website: https://talirezun.com

Important Disclaimer: This podcast features audio generated by NotebookLM, a Google research tool and AI-powered research assistant, based on original research and notes provided by Dr. Tali Režun. The content, including all discussions, insights, and audio elements, is experimental in nature and produced using AI technology. While every effort has been made to ensure accuracy, AI-generated material may contain errors, omissions, or interpretations that do not fully reflect the complexities of the source research. Listeners are strongly encouraged to independently verify all facts, claims, and information presented through reliable sources and conduct their own research before relying on any content. This podcast is for informational and educational purposes only and does not constitute professional advice, endorsement, or official statements from Dr. Tali Režun, Google, or any affiliated entities. No warranties, express or implied, are made regarding the completeness, accuracy, or suitability of the material. By listening, you acknowledge these limitations and assume full responsibility for any actions taken based on the podcast.

Description: Dive deeper into the research behind large language models with this AI-generated discussion based on Dr. Tali Režun's comprehensive manual. This episode of "From Lab to Life" presents an engaging conversational exploration of the extensive research materials used to create the article "Understanding Large Language Models: A Complete Manual." Generated using Google's NotebookLM, this AI-powered discussion offers a unique perspective on LLM technology, covering insights and research findings that may not have made it into the final written article. Perfect for those who prefer audio learning or want to explore the topic through dynamic conversation rather than traditional reading.

What You'll Discover:

• In-depth exploration of research materials on large language models
• Conversational insights into LLM technology and applications
• Additional perspectives and findings from the original research
• A fresh take on understanding AI systems like ChatGPT and Claude

This content complements the original manual by Dr. Tali Režun, Vice Dean of Frontier Technologies at COTRUGLI Business School, offering another format to engage with complex AI concepts.

Article link: https://medium.com/@talirezun/understanding-large-language-models-a-complete-manual-8b18463b6f00

From Lab to Life: https://medium.com/@talirezun

Follow Tali:

• X - https://x.com/talirezun
• LinkedIn: https://si.linkedin.com/in/talirezun
• Website: https://talirezun.com

Important Disclaimer: This podcast features audio generated by NotebookLM, a Google research tool and AI-powered research assistant, based on original research and notes provided by Dr. Tali Režun. The content, including all discussions, insights, and audio elements, is experimental in nature and produced using AI technology. While every effort has been made to ensure accuracy, AI-generated material may contain errors, omissions, or interpretations that do not fully reflect the complexities of the source research. Listeners are strongly encouraged to independently verify all facts, claims, and information presented through reliable sources and conduct their own research before relying on any content. This podcast is for informational and educational purposes only and does not constitute professional advice, endorsement, or official statements from Dr. Tali Režun, Google, or any affiliated entities. No warranties, express or implied, are made regarding the completeness, accuracy, or suitability of the material. By listening, you acknowledge these limitations and assume full responsibility for any actions taken based on the podcast.