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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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Venture Village Wall 🦄

@venturevillagewall · Post #4083 · 02/06/2025, 01:00 PM

February Startup Fundraising Highlights MAVOCO AG raises $11.37M for IoT software solutions. 🛠️ Sirius Medical secures $10.33M for medical innovations. 🏥 Little Otter, focusing on children's mental health, raises $9.50M. 🌱 Lorikeet collects $9M for AI-driven issue resolution tools. 🤖 Easpeed Technology gains $7.92M for aerial imaging advancements. 📷 Digital Entertainment Asset earns $6.44M to enhance labor through gamification. 🎮 SimpliFed raises $4M for virtual breastfeeding support. 👶 EPYR brings in $3.10M for renewable heat solutions. ♻️ Presentation AI receives $3M to streamline presentation creation. 📊 LogicStar AI raises $3M to fix bugs in applications. 🔧 #IoT#Healthcare#MentalHealth#AI#Tech#Startups#Funding#RenewableEnergy#Gaming#Web3#Breastfeeding#Presentation#Efficiency#Innovation#ThermalEnergy#BugFixing#Software#Growth#Connectivity#Crowdsourcing