Aidan Gomez, cofounder and CEO of Cohere, shares his journey from a rural Canadian background to the forefront of AI innovation. He discusses his role in co-authoring the groundbreaking paper 'Attention is All You Need' and how it shaped his mission at Cohere. The conversation dives into the challenges enterprises face in adopting AI, including build vs. buy strategies and common pitfalls. Aidan also offers insights into the future of Artificial General Intelligence and the hurdles large language models encounter in predictive tasks.

Aidan Gomez, Co-founder and CEO of Cohere, shares insights on the evolving landscape of AI. He discusses the critical balance between compute and data, arguing that more compute may not always equate to better performance. Aidan critiques the current value assigned to AI models, suggesting a race to the bottom in pricing led by OpenAI. He emphasizes the significance of quality data and the challenges of training AI with limited human-like reasoning. Additionally, he explores the future of the synthetic data market and the importance of privacy in enterprise AI adoption.

Aidan Gomez, Co-founder and CEO of Cohere, shares insights on the enterprise-focused AI market. He discusses the shift from deterministic to probabilistic models, highlighting the complexities of human language in AI interactions. The conversation explores the financial landscape of AI, its rapid adoption, and the importance of creating reliable applications for businesses. Aidan also emphasizes the challenges and responsibilities of startups navigating a competitive environment, urging for a cultural shift in enterprises to embrace AI effectively.

Aidan Gomez, CEO of Cohere, dives into tackling AI hallucinations and reasoning improvements in this lively conversation. He discusses why Cohere avoids using GPT-4 for training and shares insights on the unique challenges enterprises face with AI, from onboarding to legislation. Aidan highlights their commitment to crafting robust, industry-specific solutions while addressing the societal implications of AI advancements and regulatory needs. Get a glimpse into Cohere’s ethos and their strategic vision for the future of AI technology.

Aidan Gomez, co-author of the groundbreaking "Attention Is All You Need" paper and CEO of Cohere, dives into the realities of next-generation AI. He dismantles myths about AI's extraordinary capabilities, emphasizing its true value in automating backend processes to save businesses billions. The conversation touches on the limitations of AI training, the role of synthetic data, and practical applications in various sectors like healthcare. Gomez also discusses the synergy between AI and humans, highlighting a balanced, responsible approach to integration in the workplace.

On this episode, we’re joined by Aidan Gomez, Co-Founder and CEO at Cohere. Cohere develops and releases a range of innovative AI-powered tools and solutions for a variety of NLP use cases.We discuss:- What “attention” means in the context of ML.- Aidan’s role in the “Attention Is All You Need” paper.- What state-space models (SSMs) are, and how they could be an alternative to transformers. - What it means for an ML architecture to saturate compute.- Details around data constraints for when LLMs scale.- Challenges of measuring LLM performance.- How Cohere is positioned within the LLM development space.- Insights around scaling down an LLM into a more domain-specific one.- Concerns around synthetic content and AI changing public discourse.- The importance of raising money at healthy milestones for AI development.Aidan Gomez - https://www.linkedin.com/in/aidangomez/Cohere - https://www.linkedin.com/company/cohere-ai/Thanks for listening to the Gradient Dissent podcast, brought to you by Weights & Biases. If you enjoyed this episode, please leave a review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation.Resources:- https://cohere.ai/- “Attention Is All You Need”#OCR #DeepLearning #AI #Modeling #ML

Welcome to Eye on AI, the podcast that keeps you informed about the latest trends, obstacles, and possibilities in the realm of artificial intelligence. In this episode, we have the privilege of engaging in a thought-provoking discussion with Aidan Gomez, an exceptional AI developer and co-founder of Cohere. Aidan’s passion lies in enhancing the efficiency of massive neural networks and effectively deploying them in the real world. Drawing from his vast experience, which includes leading a team of researchers at For.ai and conducting groundbreaking research at Google Brain, Aidan provides us with unique insights and anecdotes that shed light on the AI landscape. During our conversation, Aidan explains his collaboration with the legendary Geoffrey Hinton and their remarkable project at Google Brain. We delve into the intricate architecture of AI systems, demystifying the construction of the transformative transformer algorithm. Aidan generously shares his knowledge on the creation of attention within these models and the complexities of scaling such systems. As we explore the fascinating domain of language models, Aidan discusses their learning process, bridging the gap between code and data. We uncover the immense potential of these models to suggest other large-scale counterparts. We gain invaluable insights into Aidan’s journey as a co-founder of Cohere, an innovative platform revolutionizing the utilization of language technology. Tune in to Eye on AI now to immerse yourself in a captivating conversation that will expand your understanding of this ever-develop field. (00:00) Preview (00:33) Introduction & sponsorship  (02:00) Aidan's background with machine learning & AI (05:10) Geoffrey Hinton & Aidan Gomez working together  (07:55) Aidan Gomez & Google Brain's project  (12:53) Aidan's role in building AI architecture  (15:25) How the transformer algorithm is built (18:25) How do you create attention? (20:40) How do you scale the model? (25:10) How language models learn from code and data (29:55) Did you know the potential of the project? (34:15) Can LLMs suggest other large models? (36:45) How Aidan Gomez started Cohere (41:10) How do people use Cohere? (46:50) Examples of language technology models  (48:40) How Cohere handles hallucinations (52:53) The dangers of AI   Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

Aidan Gomez, Co-founder and CEO of Cohere, shares insights from his journey in AI and language technology. He discusses how language might revolutionize software development, making it accessible to more people. Aidan reflects on the evolution of transformer models and the challenges they face, emphasizing a future where language-driven interfaces can transform applications. He also explores the potential implications of large language models in enhancing user interactions and fostering innovation in the tech landscape.

Der britisch-kanadische Informatiker Aidan Gomez spricht über die Entwicklung von KI-Modellen, die Vorteile von Cohere gegenüber anderen Unternehmen und die Bedeutung von Datenschutz. Er prognostiziert, dass persönliche KI-Assistenten die Produktivität steigern werden. Weitere Themen umfassen die Nutzungsdauer von KI-Modellen, die Revolution in der Wirtschaft und Herausforderungen bei der Anleitung von KI-Modellen.

Three AI pioneers discuss the past, present, and future of transformative technology. They explore generative AI advancements, its impact on professions like medicine, and concerns about misuse. The podcast delves into AI testing criteria, entrepreneurial potential, and the evolution of AI towards human-like intelligence. They also touch on open source platforms for cultural diversity, challenges of deepfakes, and the importance of industry collaboration.