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, CEO and Co-founder of Cohere and co-author of the influential Transformer paper, dives deep into the complexities of AI. He discusses whether compute power truly drives model performance and shares his evolving views on data's role. Aidan tackles the current demand for AI models amidst OpenAI's pricing strategies and challenges the sustainability of being an independent model provider. He emphasizes the importance of data quality over sheer scale and explores the necessity of embracing adaptive business models in today's AI landscape.

Cohere CEO Aidan Gomez discusses the evolution of AI, transitioning to regenerative models, enterprise challenges, and the importance of independence in the AI industry. They explore the impact of language models, expectations of LLMs, and the evolving trust in technology for tasks like medical diagnosis.

Aidan Gomez, the insightful CEO of Cohere, joins to discuss AI's transformative future. Discover the innovative CampaignsGPT tool and how it revolutionizes business strategies. The conversation highlights Amazon's impressive AI productivity gains, the uproar over Procreate's anti-AI stance, and the amusing antics of Lindy AI. Concerns about data security with Microsoft's CoPilot are also addressed. Tune in for a blend of humor and serious discourse on the evolving AI landscape!

CEO of Cohere, Aidan Gomez, discusses tackling AI hallucinations, improving reasoning abilities, and the unique approach of Cohere in solving real-world business problems. They touch on the implications of AI for society, the startup scene, and their vision for driving productivity and innovation.

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

We had a conversation with Aidan Gomez, the CEO of language-based AI platform Cohere. Cohere is a startup which uses artificial intelligence to help users build the next generation of language-based applications. It's headquartered in Toronto. The company has raised $175 million in funding so far. Language may well become a key new substrate for software building, both in its representation and how we build the software. It may democratise software building so that more people can build software, and we can build new types of software. Aidan and I discuss this in detail in this episode of MLST. Check out Cohere -- https://dashboard.cohere.ai/welcome/register?utm_source=influencer&utm_medium=social&utm_campaign=mlst Support us! https://www.patreon.com/mlst  YT version: https://youtu.be/ooBt_di8DLs TOC: [00:00:00] Aidan Gomez intro [00:02:12] What's it like being a CEO? [00:02:52] Transformers [00:09:33] Deepmind Chomsky Hierarchy [00:14:58] Cohere roadmap [00:18:18] Friction using LLMs for startups [00:25:31] How different from OpenAI / GPT-3 [00:29:31] Engineering questions on Cohere [00:35:13] Francois Chollet says that LLMs are like databases [00:38:34] Next frontier of language models [00:42:04] Different modes of understanding in LLMs [00:47:04] LLMs are the new extended mind [00:50:03] Is language the next interface, and why might that be bad? References: [Balestriero] Spine theory of NNs https://proceedings.mlr.press/v80/balestriero18b/balestriero18b.pdf [Delétang et al] Neural Networks and the Chomsky Hierarchy https://arxiv.org/abs/2207.02098 [Fodor, Pylyshyn] Connectionism and Cognitive Architecture: A Critical Analysis https://ruccs.rutgers.edu/images/personal-zenon-pylyshyn/docs/jaf.pdf [Chalmers, Clark] The extended mind https://icds.uoregon.edu/wp-content/uploads/2014/06/Clark-and-Chalmers-The-Extended-Mind.pdf [Melanie Mitchell et al] The Debate Over Understanding in AI's Large Language Models https://arxiv.org/abs/2210.13966 [Jay Alammar] Illustrated stable diffusion https://jalammar.github.io/illustrated-stable-diffusion/ Illustrated transformer https://jalammar.github.io/illustrated-transformer/ https://www.youtube.com/channel/UCmOwsoHty5PrmE-3QhUBfPQ [Sandra Kublik] (works at Cohere!) https://www.youtube.com/channel/UCjG6QzmabZrBEeGh3vi-wDQ

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.