DeepSummary
In this podcast episode, Aidan Gomez, the CEO of Cohere, discusses the progress made by his company in addressing issues like AI hallucinations and improving reasoning abilities. He explains why Cohere avoids using outputs from GPT models for training, as it leads to a collapse in model diversity. The conversation covers Cohere's focus on tailoring their models for specific enterprise use cases and driving real-world productivity.
Gomez shares insights into Cohere's company culture, hiring practices, and the challenges of scaling a startup. He also touches on the broader implications of AI for society, including potential risks like misinformation and the need for human verification. The discussion explores the role of regulation and policy in fostering innovation while mitigating societal risks.
The episode delves into the technical aspects of model development, such as the use of synthetic data for improving reasoning capabilities, the trade-offs between generality and specialization, and the potential for future architectures like mixture-of-experts models. Gomez also reflects on his personal journey as a first-time founder and the lessons learned from mistakes made along the way.
Key Episodes Takeaways
- Cohere is focused on developing language models tailored for specific enterprise use cases and driving real-world productivity, rather than pursuing artificial general intelligence (AGI).
- Cohere avoids using outputs from other language models like GPT for training, as it leads to a collapse in model diversity and homogenization of behavior.
- Improving reasoning abilities and addressing hallucinations are key areas of focus for Cohere, as they aim to make their models more robust and reliable.
- Synthetic data generation and targeted data augmentation are crucial techniques used by Cohere to improve model reasoning and robustness.
- Cohere is exploring mixture-of-experts architectures and specialized model components for different domains or capabilities, moving away from monolithic general-purpose models.
- Misinformation and the need for human verification are potential societal risks associated with language models that Cohere is aware of and addressing.
- Gomez emphasizes the importance of fostering a competitive and self-disrupting market through sensible regulation, rather than over-regulation that entrenches incumbents.
- Scaling a startup like Cohere comes with unique challenges, such as maintaining open communication, cultivating a strong company culture, and learning from mistakes as a first-time founder.
Top Episodes Quotes
- “Models are way too similar. I think there's going to start to be differentiation between models I was talking about before with command R and Rhino. We're going to start really focusing in on key capabilities.“ by Speaker A
- “I fucked up constantly at every stage of the company. I guess just admitting that you've messed up and trying not to be in denial about it and fixing it as quickly as possible has been the most important thing to cohere, continuing to thrive and existed.“ by Speaker A
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Episode Information
Machine Learning Street Talk (MLST)
Machine Learning Street Talk (MLST)
6/29/24
Aidan Gomez, CEO of Cohere, reveals how they're tackling AI hallucinations and improving reasoning abilities. He also explains why Cohere doesn't use any output from GPT-4 for training their models.
Aidan shares his personal insights into the world of AI and LLMs and Cohere's unique approach to solving real-world business problems, and how their models are set apart from the competition. Aidan reveals how they are making major strides in AI technology, discussing everything from last mile customer engineering to the robustness of prompts and future architectures.
He also touches on the broader implications of AI for society, including potential risks and the role of regulation. He discusses Cohere's guiding principles and the health the of startup scene. With a particular focus on enterprise applications. Aidan provides a rare look into the internal workings of Cohere and their vision for driving productivity and innovation.
https://cohere.com/
https://x.com/aidangomez
Check out Cohere's amazing new Command R* models here
https://cohere.com/command
Disclaimer: This is the second video from our Cohere partnership. We were not told what to say in the interview, and didn't edit anything out from the interview.