Large Language Model (LLM) capabilities have reached new heights and are nothing short of mind-blowing! However, with so many advancements happening at once, it can be overwhelming to keep up with all the latest developments. To help us navigate through this complex terrain, we’ve invited Raj - one of the most adept at explaining State-of-the-Art (SOTA) AI in practical terms - to join us on the podcast. Raj discusses several intriguing topics such as in-context learning, reasoning, LLM options, and related tooling. But that’s not all! We also hear from Raj about the rapidly growing data science and AI community on TikTok. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Rajiv Shah – Website, GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Solving AI Tasks with ChatGPT and its Friends in HuggingFace | GitHub Generative Agents: Interactive Simulacra of Human Behavior Wolfram ChatGPT Comparing LLMs LangChain Learn about LLMs: Emergence and reasoning in large language models (Jason Wei) Sparks of Artificial General Intelligence Learning Prompting Getting Started with Transformers: Transformers course (free) Tasks at Hugging Face Training your own LLM Models: Efficient Large Language Model training with LoRA and Hugging Face PEFT (Parameter-Efficient Fine-Tuning) Dolly blog post Illustrating Reinforcement Learning from Human Feedback Something missing or broken? PRs welcome!

Rajiv Shah, former administrator of USAID, shares his methodology for creating large-scale change and making the world a better place. He discusses his big bet mentality and how it led to immunizing 900 million children and saving 16 million lives. The podcast explores the culture and approach of the Gates Foundation, the importance of collaboration and inclusivity during crises, and the power of setting bold goals and forming unlikely partnerships for transformative actions. Rajiv also discusses the relevance of his lessons for the private sector and emphasizes the correlation between generosity and happiness.

Rajiv Shah, former Administrator of USAID, discusses world hunger, pandemics, and climate change. He explains the impact of going big even if it results in failure. He talks about the recent UN Climate Conference, the revamping of global institutions, and the role of billionaire philanthropists. They also discuss the slow progress and lack of global agreement on climate change, loopholes in the COP 28 deal, the role of local companies in tackling climate change, and the use of AI to address climate change. They also explore efforts to bring solar power to Eastern Congo.

Large Language Model (LLM) capabilities have reached new heights and are nothing short of mind-blowing! However, with so many advancements happening at once, it can be overwhelming to keep up with all the latest developments. To help us navigate through this complex terrain, we’ve invited Raj - one of the most adept at explaining State-of-the-Art (SOTA) AI in practical terms - to join us on the podcast. Raj discusses several intriguing topics such as in-context learning, reasoning, LLM options, and related tooling. But that’s not all! We also hear from Raj about the rapidly growing data science and AI community on TikTok. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Rajiv Shah – Website, GitHub, LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes: Solving AI Tasks with ChatGPT and its Friends in HuggingFace | GitHub Generative Agents: Interactive Simulacra of Human Behavior Wolfram ChatGPT Comparing LLMs LangChain Learn about LLMs: Emergence and reasoning in large language models (Jason Wei) Sparks of Artificial General Intelligence Learning Prompting Getting Started with Transformers: Transformers course (free) Tasks at Hugging Face Training your own LLM Models: Efficient Large Language Model training with LoRA and Hugging Face PEFT (Parameter-Efficient Fine-Tuning) Dolly blog post Illustrating Reinforcement Learning from Human Feedback Something missing or broken? PRs welcome!

Rajiv Shah, former head of USAID and president of the Rockefeller Foundation, shares his transformative journey in global health and humanitarian aid. He dives into the impact of foreign aid on national security and global stability, supported by military insights. Shah advocates for a 'big bet' mentality—aiming for bold, transformative goals while balancing practical, incremental actions. His experiences at the Gates Foundation highlight the power of vaccines in saving lives, and he emphasizes the importance of generosity and collaboration in tackling pressing global challenges.

Rajiv Shah discusses leading major humanitarian efforts post-Haiti earthquake, the importance of taking bold gambles based on data, and owning up to mistakes. He shares insights on global health impact through strategic vaccination initiatives and the need for pandemic preparedness. The podcast also touches on navigating career expectations in an Indian American community and compensating talent in nonprofit organizations.

Kara Swisher interviews Rockefeller Foundation President Rajiv Shah, discussing climate change solutions, billionaire philanthropy, and the UN Climate Conference. They explore the rise of tech-financed philanthropy, the challenges of reaching global agreements, and the role of AI in climate change. The chapter also emphasizes the responsibility of billionaires in solving societal problems and the importance of local solutions and innovative technologies in addressing climate change.

Rajiv Shah, President of The Rockefeller Foundation, shares his dynamic journey from aspiring doctor to global humanitarian leader. He discusses the audacity needed for large-scale initiatives and the impact of collaboration during crises like COVID-19. Shah emphasizes lessons learned from health emergencies, the significance of trust in humanitarian efforts, and the complexities of renewable energy projects. He advocates for 'Big Bets' on social change, encouraging innovation, mentorship, and genuine partnerships to tackle pressing global issues.

Dr. Rajiv Shah, President of The Rockefeller Foundation, discusses tackling climate change, working with influential leaders like Bill Gates and President Biden, and his time running USAID.

Dr. Rajiv Shah, President of the Rockefeller Foundation, discusses his experience in responding to the Ebola crisis and the importance of prevention. They talk about proposing a groundbreaking project to Bill, restructuring global finances for public goods, investing in children for economic growth and poverty reduction, and the significance of saving children's lives and investing in their education. The podcast concludes with a call to meaningful contribution.