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7: July 2024
A quick glimpse into what happened in the world of AI in July 2024!
THE SHOW
AI After Hours with Polly Allen and Yuying Chen-Wynn is an irreverent attempt to 'edutain' about the latest AI headlines & tools!
THE LINKS
Recommendations
Check out Polly’s ‘Path to AI Product Leader’ masterclass on August 6th: https://www.aicareerboost.com/master-ai-leadership
Polly Allen
LinkedIn: https://www.linkedin.com/in/pollymallen/
AI Career Boost: https://www.aicareerboost.com/
Yuying Chen-Wynn
LinkedIn: https://www.linkedin.com/in/yuyingchenwynn/
Blog: https://yuying.substack.com/
TAKEAWAYS
- LAMA 3.1, with 405 billion parameters, is the largest language model to date and outperforms other benchmark models.
- Export blocks on AI compute GPUs raise questions about the access of Chinese companies to US-based cloud providers.
- Smaller language models are gaining popularity due to their ability to be deployed on devices, lower cost, and specialized use cases.
- Prompt chaining is an engineering pattern that involves using multiple prompts to improve the performance and accuracy of language models.
- Developers are exploring prompt chaining and agentic AI to enhance the capabilities of language models. Prompt chaining involves feeding the output of one language model into the next prompt, while agentic AI refers to AI that figures out the steps itself.
- Prompt chaining has potential for impact in content generation and writing, while agentic AI is still in early stages of development.
- The AI bubble is not bursting, and AI is still in its early stages with a lot of potential for growth and innovation.
- Investors should be more sensible in their evaluation of AI companies, and patience is needed for AI to reach its full potential.
View all episodes
By Polly Allen & Yuying Chen-WynnA quick glimpse into what happened in the world of AI in July 2024!
THE SHOW
AI After Hours with Polly Allen and Yuying Chen-Wynn is an irreverent attempt to 'edutain' about the latest AI headlines & tools!
THE LINKS
Recommendations
Check out Polly’s ‘Path to AI Product Leader’ masterclass on August 6th: https://www.aicareerboost.com/master-ai-leadership
Polly Allen
LinkedIn: https://www.linkedin.com/in/pollymallen/
AI Career Boost: https://www.aicareerboost.com/
Yuying Chen-Wynn
LinkedIn: https://www.linkedin.com/in/yuyingchenwynn/
Blog: https://yuying.substack.com/
TAKEAWAYS
- LAMA 3.1, with 405 billion parameters, is the largest language model to date and outperforms other benchmark models.
- Export blocks on AI compute GPUs raise questions about the access of Chinese companies to US-based cloud providers.
- Smaller language models are gaining popularity due to their ability to be deployed on devices, lower cost, and specialized use cases.
- Prompt chaining is an engineering pattern that involves using multiple prompts to improve the performance and accuracy of language models.
- Developers are exploring prompt chaining and agentic AI to enhance the capabilities of language models. Prompt chaining involves feeding the output of one language model into the next prompt, while agentic AI refers to AI that figures out the steps itself.
- Prompt chaining has potential for impact in content generation and writing, while agentic AI is still in early stages of development.
- The AI bubble is not bursting, and AI is still in its early stages with a lot of potential for growth and innovation.
- Investors should be more sensible in their evaluation of AI companies, and patience is needed for AI to reach its full potential.