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LLMs for Everyone - Meryem Arik
Manage episode 372494593 series 2831626
Content provided by DataTalks.Club. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by DataTalks.Club 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://podcastplayer.com/legal.
We talked about:
- Meryam's background
- The constant evolution of startups
- How Meryam became interested in LLMs
- What is an LLM (generative vs non-generative models)?
- Why LLMs are important
- Open source models vs API models
- What TitanML does
- How fine-tuning a model helps in LLM use cases
- Fine-tuning generative models
- How generative models change the landscape of human work
- How to adjust models over time
- Vector databases and LLMs
- How to choose an open source LLM or an API
- Measuring input data quality
- Meryam's resource recommendations
Links:
- Website: https://www.titanml.co/
- Beta docs: https://titanml.gitbook.io/iris-documentation/overview/guide-to-titanml...
- Using llama2.0 in TitanML Blog: https://medium.com/@TitanML/the-easiest-way-to-fine-tune-and-inference-llama-2-0-8d8900a57d57
- Discord: https://discord.gg/83RmHTjZgf
- Meryem LinkedIn: https://www.linkedin.com/in/meryemarik/
Free MLOps course: https://github.com/DataTalksClub/mlops-zoomcamp Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html
183 episodes
Share
Manage episode 372494593 series 2831626
Content provided by DataTalks.Club. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by DataTalks.Club 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://podcastplayer.com/legal.
We talked about:
- Meryam's background
- The constant evolution of startups
- How Meryam became interested in LLMs
- What is an LLM (generative vs non-generative models)?
- Why LLMs are important
- Open source models vs API models
- What TitanML does
- How fine-tuning a model helps in LLM use cases
- Fine-tuning generative models
- How generative models change the landscape of human work
- How to adjust models over time
- Vector databases and LLMs
- How to choose an open source LLM or an API
- Measuring input data quality
- Meryam's resource recommendations
Links:
- Website: https://www.titanml.co/
- Beta docs: https://titanml.gitbook.io/iris-documentation/overview/guide-to-titanml...
- Using llama2.0 in TitanML Blog: https://medium.com/@TitanML/the-easiest-way-to-fine-tune-and-inference-llama-2-0-8d8900a57d57
- Discord: https://discord.gg/83RmHTjZgf
- Meryem LinkedIn: https://www.linkedin.com/in/meryemarik/
Free MLOps course: https://github.com/DataTalksClub/mlops-zoomcamp Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html
183 episodes
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