Sentence Transformers and Embedding Evaluation - Talking Language AI Ep#3 Full episode:
[ Ссылка ]
About The Speaker:
Nils is the creator of Sentence-BERT and has authored several well-known research papers, including Sentence-BERT and the popular Sentence Transformers library. He’s also worked as a Research Scientist at HuggingFace, (co-)founded several web companies, and worked as an AI consultant in the area of investment banking, media, and IoT.
===
In our conversation, Nils gives us an introduction to the Sentence-BERT package and the large language models provided in it. He also shares some lessons from his experience in open-source development of such a popular package. Finally, Nils touches on his research collaborations on how to evaluate embeddings through works like MTEB: Massive Text Embedding Benchmark and BEIR.
To go deeper into these tools, and other concepts around embeddings, watch the video and join the conversation on Discord. Stay tuned for more episodes in our Talking Language AI series!
===
Join the Cohere Discord: [ Ссылка ]
Discussion thread for this episode (feel free to ask questions):
[ Ссылка ]
Watch more episodes of Talking Language AI: [ Ссылка ]
===
Resources:
Bonjour. مرحبا. Guten tag. Hola. Cohere's Multilingual Text Understanding Model is Now Available: [ Ссылка ]
SBERT: [ Ссылка ]
SBERT Paper: [ Ссылка ]
MTEB: Massive Text Embedding Benchmark: [ Ссылка ]
BEIR: A Heterogeneous Benchmark for Zero-shot Evaluation of Information Retrieval Models: [ Ссылка ]
SetFit - Efficient Few-shot Learning with Sentence Transformers [ Ссылка ]
