Episode description
Video: https://youtu.be/dVIPBxHJ1kQ
00:00 Intro
00:15 Greets for Sonam
01:02 Importance of metric learning
3:37 Sonam's background: Rasa, Qdrant
4:31 What's EmbedAnything
5:52 What a user gets
8:48 Do I need to know Rust?
10:18 Call-out to the community
10:35 Multimodality
12:32 How to evaluate quality of LLM-based systems
16:38 QA for multimodal use cases
18:17 Place for a human in the LLM craze
19:00 Use cases for EmbedAnything
20:54 Closing theme (a longer one - enjoy!)
Show notes:
- GitHub: https://github.com/StarlightSearch/EmbedAnything
- HuggingFace Candle: https://github.com/huggingface/candle
- Sonam's talk on Berlin Buzzwords 2024: https://www.youtube.com/watch?v=YfR3kuSo-XQ
- Removing GIL from Python: https://peps.python.org/pep-0703
- Blind pairs in CLIP: https://arxiv.org/abs/2401.06209
- Dark matter of intelligence: https://ai.meta.com/blog/self-supervised-learning-the-dark-matter-of-intelligence/
- Rasa chatbots: https://github.com/RasaHQ/rasa
- Prometheus: https://github.com/prometheus-eval/prometheus-eval