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Strumento PA italiana: CSV to RDF/TTL con OntoPiA e DCAT-AP_IT
Open Source Alternative to NotebookLM / Perplexity / Glean, connected to external sources such as search engines (Tavily, Linkup), Slack, Linear, Notion, YouTube, GitHub and more.
Sample files to accompany the FT's Chart Doctor column
Build reliable Gen AI solutions without overhead 🍕
A Model Context Protocol server to connect to MongoDB databases and MongoDB Atlas Clusters.
Comparing Wikidata and Vatican Official Data about Cardinals.
A curated list of engineering blogs
Fully open reproduction of DeepSeek-R1
a unified framework for leveraging LLMs
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
Sample apps to help developers get started with Structured Outputs
This repo is for LinkedIn Learning course: Generative AI and LLMOps: Deploying & Managing LLMs in Production
LLM-powered multiagent persona simulation for imagination enhancement and business insights.
A framework for few-shot evaluation of language models.
SuperPrompt is an attempt to engineer prompts that might help us understand AI agents.
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
An open-source compliance-centered evaluation framework for Generative AI models
[CCS'24] A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts).
AI-powered assistant to help you with your daily tasks, powered by Llama 3, DeepSeek R1, and many more models on HuggingFace.
21 Lessons, Get Started Building with Generative AI
A reading list on LLM based Synthetic Data Generation 🔥
An open-source RAG-based tool for chatting with your documents.
EUSurvey is an opensource surveying tool. It features different types of questions, free text fields as well as more complex elements like editable tables and gallery elements. Results can be displ…
The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
Examples and guides for using the OpenAI API