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KernelMemory - Some suggestions on how to choose a local Embedding Model. 

CodeWrecks
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In this new video I'll deal with the usage of local embedding generators, like the onens from SBERT family. I'll show which are the main pitfall you can encounter if you are gonna use local embeddings also some theory for using an Embedding Generator effectively.
▬ Contents of this video ▬▬▬▬▬▬▬▬▬▬
00:00 - Introduction to Kernel Memory and Embedding Generators
01:23 - Checking Language Support in Embedding Generators
01:56 - Understanding the Concept of Symmetric vs Asymmetric Semantic Search
03:56 - Considerations when Using Models from OpenAI or Other Publishers
05:01 - Understanding Symmetric Semantic Search and Asymmetric Semantic Search
07:00 - Choosing the Right Model for Your Scenario
08:55 - Importance of Checking Similarity Measures in Model Selection
12:00 - Changing the External Embedding Generator Config
16:45 - Conclusion and Recap of the Video

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29 июл 2024

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Комментарии : 2   
@danielcampos5573
@danielcampos5573 3 месяца назад
Thanks for the content!!! Love how you explain. I have a question. What do you recommend for Spanish embedding? Thanks!
@codewrecks
@codewrecks 3 месяца назад
I did not tried embedding outside english and italian, so I really have no special suggestion. Actually we have embeddings specialized on english and multilingual for everythign else. I suggest starting with some industry standard (openai, cohere, etc) before trying local model. You can estabilish a baseline than you can start using some multilingual one.
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