5 requirements:
1. I have a python script which performs semantic search against the vectors stored in Milvus. Now, I want the search to happen for specific documents which would come as doc_id to the function.
2. The above is working with OpenAI models, however, I want to provide users an ability to select hugging face models for embedding and answers like Llama2 and etc.., this needs to be parametrised. Atleast, 2 LLMs and 2 embedding models are required.
3. The responses from the LLMs should maintain proper indentation and format.
4. There should be chaining of the context, meaning if there is a chat which happened earlier then the responses in the later chat should preserve the content and should not say "I don't know".
5. [OPTIONAL] – Explore ways to mask confidential data from the documents. If implemented, will pay you extra.
Budget: $15
Posted On: October 06, 2023 12:25 UTC
Category: Full Stack Development
Skills:Python, Machine Learning, Data Science, Generative AI
Skills: Python, Machine Learning, Data Science, Generative AI
Country: India
click to apply
2023-10-06 18:25:16,
All jobs | upwork.com ,
https://www.upwork.com/jobs/GenAI-Python-Experts_~01ce9ad5999accb8e9?source=rss,
,
#GenAI #Python #Experts #Upwork