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#149 - Building Smart Apps with LLMs
Manage episode 366504120 series 3118163
Content provided by Geeksblabla. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Geeksblabla or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
In this episode, we discuss LLMs, how everything started, how they work, and how to use frameworks such as LangChain to develop intelligent applications with them.
Guests
Notes
0:00:00 - Introduction and welcoming
0:05:33 - History of LLMs
0:12:00 - The role of transformers in LLMs
0:21:00 - How LLMs differ from other AI methods
0:26:00 - Emergent Abilities of Large Language Models
0:42:00 - HaggingFace and the role or open-source in LLMs
0:47:00 - Open source LLMs.
1:04:00 - Using LLMs to build smart apps.
1:39:00 - Advices for software engineers with no AI background to start with LLMs.
1:46:00 - Conclusion and goodbye.
Links
Prepared and Presented by
179 episodes
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Manage episode 366504120 series 3118163
Content provided by Geeksblabla. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Geeksblabla or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
In this episode, we discuss LLMs, how everything started, how they work, and how to use frameworks such as LangChain to develop intelligent applications with them.
Guests
Notes
0:00:00 - Introduction and welcoming
0:05:33 - History of LLMs
0:12:00 - The role of transformers in LLMs
0:21:00 - How LLMs differ from other AI methods
0:26:00 - Emergent Abilities of Large Language Models
0:42:00 - HaggingFace and the role or open-source in LLMs
0:47:00 - Open source LLMs.
1:04:00 - Using LLMs to build smart apps.
1:39:00 - Advices for software engineers with no AI background to start with LLMs.
1:46:00 - Conclusion and goodbye.
Links
Prepared and Presented by
179 episodes
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