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<img src="/assets/images/2024-07-05-best-practices-in-ai/banner-gforms.svg" alt="Best Practices in AI Afternoon Banner"/> | ||
</div> | ||
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We've finally put all the videos, slides and other resources together from the [Best Practices in AI Afternoon](/events/seminar-2024-07-05-best-practices-in-ai-afternoon) | ||
We've finally put all the videos, slides and other resources together from the [Best Practices in AI Afternoon](/events/seminar-2024-07-05-best-practices-in-ai-afternoon) | ||
event that happened on the 5th of July 2024. You can find them listed below. | ||
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<!--more--> | ||
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### Maximizing Efficiency in Large Language Models: Compute, Memory, and Fine-Tuning | ||
**<img class="align-self-center mr-2" src="/assets/images/icons/icons8-communication-skill-50.png" width="20" alt="Speaker"> Karin Sevegnani, Senior Solutions Architect, Nvidia** | ||
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- [Instructor-led workshops](https://learn.nvidia.com/en-us/training/instructor-led-workshops) | ||
- [DLI University Ambassador Program](https://www.nvidia.com/en-gb/training/educator-programs/university-ambassador-program/) | ||
- [Deep Learning Programs for Educators](https://www.nvidia.com/en-gb/training/educator-programs/) | ||
- Twin Karmakharm (<a href="[email protected]">[email protected]</a>) of the RSE group is the University of Sheffield's local DLI ambassador and can help with access to the above training resources. | ||
- Twin Karmakharm (<a href="[email protected]">[email protected]</a>) of the RSE group is the University of Sheffield's local DLI ambassador and can help with access to the above training resources. | ||
- PhD fellowships: [https://research.nvidia.com/graduate-fellowships#gf-section-graduate-fellows-](https://research.nvidia.com/graduate-fellowships#gf-section-graduate-fellows-) | ||
- Accelerated software: | ||
- Denis touched upon [NGC](https://www.nvidia.com/en-us/gpu-cloud/): software repository for accelerated software, including SDKs, frameworks, containers – which you can download and deploy for free. Regularly updated. | ||
- New released [NIM](https://www.nvidia.com/en-gb/ai/) accelerated inference microservices to accelerate the deployment of Gen AI models. | ||
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### Acknowledgements | ||
### Acknowledgements | ||
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We'd like to say thank you to all the speakers and attendees for making [Best Practices in AI Afternoon](/events/seminar-2024-07-05-best-practices-in-ai-afternoon) | ||
a great success! | ||
We'd like to say thank you to all the speakers and attendees for making [Best Practices in AI Afternoon](/events/seminar-2024-07-05-best-practices-in-ai-afternoon) | ||
a great success! | ||
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Thank you to Emma and Kate from the [Centre for Machine Intelligence (CMI)](https://www.sheffield.ac.uk/machine-intelligence) for all the help with | ||
organising the event and the [CMI](https://www.sheffield.ac.uk/machine-intelligence) and Nvidia for sponsoring the event. | ||
Thank you to Emma and Kate from the [Centre for Machine Intelligence (CMI)](https://www.sheffield.ac.uk/machine-intelligence) for all the help with | ||
organising the event and the [CMI](https://www.sheffield.ac.uk/machine-intelligence) and Nvidia for sponsoring the event. | ||
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### Photos from the day | ||
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![Karin Sevegnani presenting](/assets/slides/2024-07-05-best-practices-ai/P1022846.jpg) | ||
*Karin Sevegnani presenting "Maximizing Efficiency in Large Language Models: Compute, Memory, and Fine-Tuning"* | ||
*Karin Sevegnani presenting "Maximizing Efficiency in Large Language Models: Compute, Memory, and Fine-Tuning"* | ||
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![Ryan Daniels presenting](/assets/slides/2024-07-05-best-practices-ai/P1022853.jpg) | ||
*Ryan Daniels presenting "Docker for Machine Learning"* | ||
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![Q & A Panel](/assets/slides/2024-07-05-best-practices-ai/P1022863.jpg) | ||
*Q & A Panel with Andy Grant, Edwin Brown, Ryan Daniels, and Christopher Wild* | ||
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