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