Berlin Buzzwords 2024 - Sonam Pankaj - EmbedAnything

About this episode

In this episode, Sonam Pankaj discusses the importance of metric learning and the features of EmbedAnything.

This episode on YouTube: 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 - Dino: https://github.com/facebookresearch/dino

People in this episode

Host: Dmitry Kan

Guest: Sonam Pankaj

Topics covered

• metric learning
• multimodality
• LLM-based systems
• EmbedAnything
• use cases
• community engagement

Keywords

• metric learning
• EmbedAnything
• multimodality
• LLM
• use cases
• community

Mentioned in this episode

Organizations: Rasa, Qdrant, EmbedAnything, HuggingFace, Python, CLIP, Prometheus, Dino

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