LLM SELECTION & INTEGRATION FOR LOCAL NEWS AGGREGATOR
Descrição da oferta de emprego
PLZ READ THE TASK DESCRIPTION CAREFULLY.
IF YOU DON'T UNDERSTAND WHAT IS ABOUT PLZ DON'T BID.
I'm in need of a freelancer to help me choose the best(or a few) LLM (i.
.
[login to view URL]) that can aggregate news about given list of subjects in a one/seq queries from RSS sources (*2).
Optionally you can automate the workflow(*1), receiving a bonus(~100%).
Optionally local LLM can be replaced with cloud based (like DeepSeekV2 or something) WHICH MUST BE EXTREMELY CHEAP in usage (API calls) or have many start FREE TOKENS for at least a few days of work (like DeepSeekV2)..
NB.
Take in mind local hardware limitations (*4) (*1) lets say we have - [login to view URL] which gets rss from (*2) - then all html files are converted to pdf (lets say with [login to view URL]) - then pdfs ar sent to local LLM (lets say GPT4All -> SBert model -> [login to view URL]) - then we ask "Which are the recent/today's news about (...?) (**1) better to replace GPT4All with text-generation-webui or something (which can be automated) (***1)all extracting/converting instruments can be enhanced/replaced on your choice (*2) We talk about kpop news rss feed like [login to view URL],soompi,kpop [login to view URL],boo,kpop2 [login to view URL],kmap,kpop3 (**2)We need to extract from ALL today's news a set dedicated to our subjects of interest (lets say Band1, Band2 & Artist1) in a form of short review with a link to the full source OR in a form of a full news text Choose which is easier to implement.
(***2)It could be excellent to experiment with Native Korean web sources (full site or rss scraping) but i doubt any good local LLM can do it in Korean language giving out results in English (cloud LLMs maybe?).
(* CPU, 16Gb Nvidia VRAM, 48GB RAM (or if you will do API based cloud solution it can be a hosted VM) MAX BID (without bonus) IS 100 USD Large Language Models (LLMs) RSS Python ID do Projeto.
# Sobre o projeto 11 propostas Aberto para ofertas Projeto remoto Ativo em 1 hora atrás
Detalhes da oferta
- Indeterminado
- Em todo Portugal
- Indeterminado - Indeterminado
- 14/05/2024
- 12/08/2024
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