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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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@githubtrending · Post #14777 · 06/03/2025, 12:00 AM

#other#applications#coderquad#college#fulltime#hacktoberfest#jobs#newgrad#position#posting#university This resource is a regularly updated list of entry-level jobs for new graduates in software, tech, computer science, product management, and quantitative roles for 2024 and 2025, organized by Coder Quad and Simplify[1][2][4]. It features a wide range of open positions from top companies, sorted by category like software engineering, data science, AI, quantitative finance, and hardware engineering. The list is easy to browse, with direct links to apply for each job, and is updated daily so you always see the latest opportunities. You can also use tools like Simplify’s browser extension to autofill job applications and get email alerts for new roles, saving you time and effort. This helps you quickly find and apply for jobs that match your skills and interests, making your job search much easier and more efficient[1][2][4]. https://github.com/SimplifyJobs/New-Grad-Positions