try out the app here: https://
huggingface.co/spaces/akhaliq
/FLUX1.1-pro-bfl-api
… made it with @OpenAI o1-preview and @Gradio in a few minutes
GENERATIVE AI
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FLUX 1.1 Pro App Demo Built with O1 and Gradio
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Vectorize: Essential Tool for RAG Application Development
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I find Vectorize go to tools that ease the process of developing RAG-based applications without any hassle. It also allows to deploy your pipeline to production to run RAG applications for users. take a look below post for the documentation of vectorize.
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Vectorize RAG Evaluation Documentation Now Available
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Check out the documentation for RAG evaluation below https://
docs.vectorize.io/getting-starte
d/rag-evaluation-quick-start
… So what are you waiting for? Sign up on Vectorize using the below link for FREE and upgrade as per your needs -
Vectorize RAG Capabilities Advanced Query Processing Features
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Vectorize also offers advanced RAG capabilities for more complex queries and application requirements. – Automatically vectorize the user query – Provides built-in re-ranking of results – Returns the metadata of retrieval context with relevancy scores and cosine similarity
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RAG Pipeline Builder Connects Cloud Data to Vector Databases
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RAG pipeline builder allowed me to quickly connect my cloud-based data storage to connect with embeddings and vectordb. – It populates vector search indexes with unstructured data from documents, SaaS platforms, knowledge bases, etc. – Automatically syncs data with vectordb.
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Vectorize RAG Evaluation Tools for Model Performance Measurement
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One of the outstanding features I found is the RAG evaluation tools offered by Vectorize. – It automates evaluation strategies on my data – It allows to measure performances against various models and chunk sizes
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Vectorize Tool Enhances RAG Pipeline Scoring for LLMs
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I have been working on RAG-based applications using large language models to improve customer querying for my data. I utilised many tools to improve RAG until I found Vectorize, which helps with scoring my RAG pipelines https://
vectorize.io -
Model Convergence Issues in Large Language Models
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because they have convergence issues, especially when model size gets larger
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Google Demos PaliGemma Open Vision-Language Model at ECCV2024
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At #ECCV2024? Join us at the Google Booth where Google researcher @AndreasPSteiner will demo PaliGemma, a versatile open 3B vision-language model, which can easily be fine-tuned and runs on small accelerators, or even on a modern CPU.
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Meta-Curator Recognition: Staying Ahead of Tech Trends
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Être cité comme un Meta-Curateur, dans le Tier 1 d’
@durandchabert
, c’est la bonne surprise du jour. « Suivre ces médias et ces curateurs vous garantit de ne pas être “jet-lagué” face aux dernières tendances et innovations. Vous aurez un aperçu global des changements, des