How to reduce the cost of evaluating LLM applications.
This is how not to waste your budget evaluating models and systemsImage created by the author using Flux1.1 Pro.You can ...
Tag: Applications
Best practices for building robust generative AI applications with Amazon Bedrock Agents – Part 1
Building intelligent agents that can accurately understand and respond to user queries is a complex undertaking that requires careful planning ...
Getting Started with Powerful Data Tables in Your Python Web Applications | by Tom Gotsman | October 2024
ConfigurationWe first import the necessary libraries, including yfinance, to retrieve the stock data.import reflex as rxfrom reflex_ag_grid import ag_gridimport yfinance ...
Building Command Line Applications in Python with Click
Author's image | DALLE-3 and Canva Sometimes what seems very complex can be made very simple and that is exactly ...
Mirage – A multilevel tensor algebra superoptimizer that automates GPU kernel generation for PyTorch applications
With the increasing growth of artificial intelligence (introduction of large language models (LLM) and generative ai), there has been a ...
LLMs For Healthcare: Exploring the Current Scenario
Introduction In recent years, large language models (LLMs have attracted significant attention in the healthcare sector. As interest in this ...
Microsoft launched VoiceRAG: an advanced voice interface using GPT-4 and Azure AI Search for real-time conversational applications
Microsoft announced ai-azure-ai-services-blog/voicerag-an-app-pattern-for-rag-voice-using-azure-ai-search-and/ba-p/4259116">VozRAGa voice-based recovery augmented generation (RAG) system that uses the new Azure OpenAI gpt-4o-realtime-preview model to combine audio ...
STGformer: A Spatiotemporal Graph Transformer Achieving Unmatched Computational Efficiency and Performance in Large-Scale Traffic Forecasting Applications
Traffic forecasting is a fundamental aspect of smart city management, essential for improving transportation planning and resource allocation. With the ...
Top 8 Applications of RAGs in Workplaces
Introduction Retrieval-Augmented Generation (RAG) is one of the most exciting recent innovations in artificial intelligence (ai). RAGs combine the power ...
Google Releases FRAMES: A Comprehensive Evaluation Dataset Designed to Test Retrieval Augmented Generation (RAG) Applications for Factuality, Retrieval Accuracy, and Reasoning
Retrieval augmented generation (RAG) has been a transformative approach in natural language processing, combining retrieval mechanisms with generative models to ...
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