Completed
[] Time spent red teaming the models
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Large Language Models at Scale - Challenges and Opportunities
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- 1 [] Nils' preferred coffee
- 2 [] Nils' background
- 3 [] Takeaways
- 4 [] Subscribe to our Newsletters and IRL Meetups, and leave your reviews!
- 5 [] Nils' history
- 6 [] From IT Security to Machine Learning
- 7 [] Tangibility of IT and Security
- 8 [] NLP transition
- 9 [] Bad augmentation to new capabilities of LLMs
- 10 [] Nils' concern during his PH.D.
- 11 [] Making Money from Machine Learning
- 12 [] Catastrophic forgetting
- 13 [] Updating solutions
- 14 [] Neural search space and building adaptive models
- 15 [] Filtering models
- 16 [] Latency issues
- 17 [] Models running in parallel
- 18 [] Generative models problems
- 19 [] Nils' role at Cohere
- 20 [] To build or not to build API
- 21 [] Search models
- 22 [] Large use cases
- 23 [] Open source discussion within Cohere
- 24 [] Competitive Edge
- 25 [] Future world of API
- 26 [] LLMs in Production Conference Part 2 announcement!
- 27 [] Hopeful direction of Cohere's future
- 28 [] Data silos
- 29 [] Where to update the database and code
- 30 [] Nils' focus
- 31 [] Make money or save money
- 32 [] Cohere's upcoming project
- 33 [] Time spent red teaming the models
- 34 [] Wrap up