How Cohere will improve AI Reasoning this year
AI Summary
- Weak Reasoning in Previous Models:
- Previous generations were weak reasoners but still capable of reasoning.
- Progress is being made on the hallucination problem and reasoning is expected to improve significantly.
- Aiden Gomez Interview:
- CEO of Cohere, Aiden Gomez, was interviewed post-presentation in London.
- Praised for transparency and authenticity.
- Cohere focuses on solving real-world business problems with AI, not pursuing superintelligence.
- Cohere’s Approach:
- Aim to create value by integrating AI into enterprise products and augmenting the workforce.
- Engage with governments for sensible policy and innovation-friendly regulation.
- Concerned about societal risks of AI.
- Company Culture:
- Cohere’s culture is highlighted for smart and nice employees.
- Aiden admits to early CEO mistakes and values transparency.
- Technology and Adoption:
- Large language models face barriers like privacy, policy, and unfamiliarity.
- Cohere provides education and engages in policy discussions to facilitate adoption.
- Tools need to be more intuitive and less reliant on prompt engineering.
- Model Differentiation:
- Cohere’s models are noted for feeling different, potentially due to avoiding training on other model outputs.
- There’s a trend of models becoming similar due to shared training data, which Cohere aims to avoid.
- Enterprise Focus:
- Cohere’s customers are enterprises, sensitive to the data used in models.
- The company excludes data from other model providers and focuses on enterprise needs.
- Model Robustness and Specialization:
- The goal is for models to understand intent regardless of phrasing.
- Efforts in data augmentation and synthetic data are making models more robust.
- Cohere plans to focus on specific capabilities important to enterprises.
- Reasoning and Intelligence:
- Aiden believes models can reason and that reasoning is a skill that can be taught.
- Synthetic data and new methods are being developed to improve reasoning in models.
- AI Startups and Innovation:
- Aiden sees a new generation of AI startups emerging, focusing on more sophisticated applications.
- He advises startup founders to admit mistakes and fix them quickly.
- Cohere has made many mistakes but has learned from them and continues to thrive.
- Policy and Regulation:
- Aiden is concerned about policies that could stifle innovation and startup growth.
- He believes regulators want to ensure safe AI deployment but must avoid overregulation.
- Cohere’s Future:
- Cohere aims to differentiate by focusing on specific enterprise problems.
- The company plans to develop more tailored capabilities for different industries.
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