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Stanford Webinar - How to Improve Your Negotiation Skills

Stanford Seminar - Addressing Online Abuse with Techniques Borrowed from Cybersecurity

Stanford Seminar - Silicon Valley & The U.S. Government: Databricks’ Rory Patterson

In this podcast episode, Steve Bowsher, CEO of In-Q-Tel, interviews Rory Patterson, Chair of Databricks Federal, about Databricks' expansion into the government sector. Patterson discusses his background, the evolution of Databricks from a commercialized Apache Spark offering to a comprehensive data intelligence platfo...

Stanford Seminar - Silicon Valley & The U.S. Government: H4D’s Steve Blank and Joe Felter

Hacking for Defense, a course that allows students to tackle real-world national security problems, is explored by Steve Blank and Joe Felter. The course applies the Lean Startup methodology, emphasizing problem understanding through direct engagement with stakeholders and iterative solution development via minimum via...

Stanford Seminar - Silicon Valley & The U.S. Government: Investing in Resilience and Security

The panel explores investment strategies in resilience and security technologies, particularly within the defense tech sector. Panelists discuss the increasing importance of technology for national security and economic growth, highlighting key areas like AI, autonomy, and advanced energy. They emphasize the need for c...

Stanford Seminar - Silicon Valley & The U.S. Government: SBA's Bailey DeVries

The podcast explores the role of the Small Business Administration (SBA) in fostering innovation and supporting small businesses, particularly in high-tech sectors. Bailey DeVries, head of the Office of Innovation and Investment at the SBA, discusses the agency's efforts to incentivize private capital flow to startups ...

Stanford Seminar - Silicon Valley & The U.S. Government: Hermeus' AJ Piplica

The podcast explores the origin story and evolution of Hermeus, a company aiming to develop hypersonic aircraft for both military and commercial applications. AJ Piplica, founder of Hermeus, details his journey from aerospace engineering at Georgia Tech to founding a company focused on reusable hypersonic systems. He d...

Stanford Seminar - Silicon Valley & The U.S. Government: Sally Donnelly

The podcast explores the intersection of Silicon Valley and the U.S. government, featuring Sally Donnelly, a national security expert with experience in multiple presidential administrations and Time Magazine. Donnelly discusses her transition from journalism to national security, emphasizing the importance of strategi...

Stanford Seminar - Silicon Valley & The U.S. Government: U.S. Navy’s CTO Justin Fanelli

The podcast explores modernizing the Department of Defense (DoD) through technological innovation and public-private partnerships. Justin Fanelli, acting CTO of the Navy and tech director of Digital PEO, emphasizes the need for the DoD to operate more like a business by quantifying value and outcomes of investments. He...

Stanford Webinar - Managing and Financing the Modern Entrepreneurial Organization

Stanford Seminar - A Billion Medical Devices - Using far from perfect ML to help patients

Stanford Seminar - Physical Intelligence and Cognitive Biases Toward AI

Stanford Webinar - The State of Product Management with Anand Subramani

Stanford CS224N: NLP with Deep Learning | Spring 2024 | Lecture 15 - After DPO by Nathan Lambert

This episode explores the evolution and future of reinforcement learning from human feedback (RLHF) in large language model (LLM) development. Against the backdrop of the rapid advancements in LLMs, the discussion highlights the increasing importance of post-training fine-tuning, particularly using RLHF, as opposed t...

Stanford CS224N: NLP w/ DL | Spring 2024 | Lecture 14 - Reasoning and Agents by Shikhar Murty

This episode explores the capabilities and limitations of language models in reasoning and acting as agents within various environments. The lecture begins by outlining different types of reasoning—deductive, inductive, and abductive—before delving into how large language models (LLMs) are prompted to reason, using te...

Stanford CS224N: NLP with Deep Learning | Spring 2024 | Lecture 16 - ConvNets and TreeRNNs

This episode explores various neural network techniques for natural language processing, focusing on convolutional neural networks (CNNs) and tree recursive neural networks (RNNs). Against the backdrop of the increasing dominance of transformers, the lecture delves into CNNs, explaining their application in language p...

Stanford CS224N: NLP with Deep Learning | Spring 2024 | Lecture 18 - NLP, Linguistics, Philosophy

This episode explores the advancements and challenges in Natural Language Processing (NLP), particularly focusing on the capabilities and limitations of Large Language Models (LLMs) like GPT-4. Against the backdrop of the course CS224N, the speaker reviews key concepts such as word vectors, transformers, and pre-train...

Stanford CS224N: NLP w/ DL| Spring 2024 | Lecture 13 - Brain-Computer Interfaces, Chaofei Fan

This episode explores the exciting advancements and ethical considerations surrounding brain-computer interfaces (BCIs), specifically focusing on speech restoration for individuals with severe motor impairments. Against the backdrop of existing assistive communication devices' limitations, the speaker, Chaofei Fan, in...

Stanford CS224N: NLP w/ DL | Spring 2024 | Lecture 12 - Efficient Training, Shikhar Murty

This episode explores the challenges and solutions in training large machine learning models on GPUs, particularly relevant for final projects in a deep learning course. The lecture begins by explaining the representation of numbers in computers, specifically focusing on floating-point data types like FP32 and FP16, a...

Stanford CS224N: NLP with Deep Learning | Spring 2024 | Lecture 11 - Benchmarking by Yann Dubois

This episode explores the multifaceted challenges and evolving methodologies in benchmarking and evaluating natural language processing (NLP) models, particularly large language models (LLMs). Against the backdrop of the limitations of traditional metrics like BLEU and ROUGE, the discussion pivots to the complexities ...