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Source channel @githubtrending · Post #14993 · Jul 24

#jupyter_notebook Retrieval Augmented Generation (RAG) helps large language models (LLMs) answer questions using up-to-date or private information by connecting them to external data sources, unlike fine-tuning which retrains the model on specific data. RAG is useful when you need current, dynamic information without costly retraining, making it ideal for tasks like customer support or knowledge management. Fine-tuning is better for deep expertise in a specialized field but requires more data and effort. Using RAG lets you get accurate, relevant answers quickly by combining the model’s language skills with fresh, specific data, improving usefulness and reliability. https://github.com/langchain-ai/rag-from-scratch

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@venturevillagewall · Post #4191 · 02/19/2025, 01:00 PM

Funding Updates: Innovative Health Tech and AI Recent funding announcements reveal a surge in innovative startups: - Berlin Heals raises $7.77M for a life-saving heart failure treatment device. Learn more - Level Zero Health secures $6.94M for DNA-based sensors monitoring hormones in real-time. Learn more - UpWell Health generates $6.50M for AI-driven invoice automation in trucking. Learn more - FrodoBots Lab collects $6M leveraging crowdsourced data through robotic gaming. Learn more - Cycloid raises $5.23M to enhance software delivery and hybrid cloud solutions. Learn more - DeFi.app introduces a modular DeFi platform with $4M funding. Learn more - Everstar acquires $4M for AI development in nuclear technologies. Learn more - Other notable rounds: THE HOUSE OF RARE - $5.76M, Floy - $3.78M, Xinjie Energy - $3.70M. #HealthTech#AI#Funding#Startups#DeFi#Blockchain#Tech#Innovation#Nuclear#RobotGaming#Trucking#Finance#Sensors#RealTime#Device#Automation#Cloud#Engineering#Hormones#LuxuryFashion