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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 #3893 · 01/16/2025, 01:00 PM

Major Funding Rounds Announced in January Multiple startups have secured significant funding in January 2025: - Sygnum raises $58M. - Amogy nets $56M for its ammonia-based energy solution aimed at decarbonizing transportation by 2050. - Nelly achieves $52.57M to streamline digital documentation. - Bioptimus raises $41M for an AI foundation model in biology. - Orchid Security collects $36M to enhance application security. - Cresicor secures $30M for trade promotion management. - Hinge Bio raises $30M for antibody innovation. - SeeQC gets $30M for a digital quantum computing platform. - NatureMetrics raises $25M for biodiversity monitoring. - Vertical Compute nets $20.6M for data-intensive workload processing. Full details can be found on their respective websites. #Funding#Investment#Startup#Amogy#AI#Bioptimus#QuantumComputing#Sygnum#Security#NatureMetrics#Biodiversity#Technology#Transport#DigitalSignatures#Decarbonization#Semiconductors#DeepTech#Ecosystem#VC#Crypto