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