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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 #4260 · 02/27/2025, 01:00 PM

Latest Funding Rounds for Startups Recent funding rounds: - Flanks raised $14.70M on Feb 26, 2025. Focus on wealth management and core business growth. Read more - Infimind secured $13.77M on Feb 25, 2025. Enhancing e-commerce with AIGC technology. Read more - Anagram raised $10M on Feb 26, 2025. Human-driven security platform. Read more - Ignota Labs received $6.90M on Feb 26, 2025. Focused on toxicity prediction. Read more - HouseWhisper acquired $6.70M on Feb 25, 2025. AI for real estate professionals. Read more - Afynia Laboratories raised $5M on Feb 25, 2025. Read more - Dispersa received $4.07M on Feb 25, 2025. Read more - Swirepay raised $3.40M on Feb 25, 2025. Customizable B2B SaaS for transactions. Read more - CQR secured $3M on Feb 26, 2025. Read more - Vidyut received $2.50M on Feb 26, 2025. Read more #Fundraising#Flanks#Infimind#Anagram#Ignota#HouseWhisper#Afynia#Dispersa#Swirepay#CQR#Vidyut#AI#Tech#Startups#Finance#Ecommerce#Security#SaaS#B2B#Prediction#VC