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documentation/bookmark/ai__artificial_intelligence/application.md
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# Reference | ||
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0. [gencraft: The world's most powerful AI photo and art generation engine](https://gencraft.com/) | ||
0. [SalesGPT - Your Context-Aware AI Sales Assistant](https://github.com/filip-michalsky/SalesGPT) | ||
0. [Keeper: Taxes, reimagined](https://www.keepertax.com/) | ||
0. [AnyLearn](https://anylearn.ai/) | ||
0. [StyleDrop: Text-To-Image Generation in Any Style](https://styledrop.github.io/) | ||
0. [Ortus: Engage in interactive video viewing: Ask questions and immediately receive relevant answers about the video!](https://www.ortusbuddy.ai/) | ||
0. [AgentGPT](https://agentgpt.reworkd.ai/) | ||
0. [Midjourney](https://www.midjourney.com/home) | ||
0. [Elai: Create AI videos from just text](https://elai.io/) | ||
0. [DeepFaceLive: Real-time face swap for PC streaming or video calls](https://github.com/iperov/DeepFaceLive) | ||
0. [Draw Things: AI-assisted Image Generation in Your Pocket](https://drawthings.ai/) | ||
0. [Generative Image Dynamics](https://generative-dynamics.github.io/) | ||
0. [Omniscience: The AI that writes books with your knowledge](https://omniscience.tech/) | ||
0. [Drafts AI: Subject to blog in seconds](https://www.draftsai.com/) | ||
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0. [Arktan: Discover and compare 5200+ best AI tools for you and your business](https://arktan.com/) | ||
0. [FutureTools: FutureTools Collects & Organizes All The Best AI Tools So YOU Too Can Become Superhuman!](https://www.futuretools.io/) | ||
0. [Mainions: Passionate AI minions for hire](https://mainions.com/) | ||
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documentation/bookmark/ai__artificial_intelligence/llm__large_language_model.md
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# Reference | ||
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0. [vLLM: A high-throughput and memory-efficient inference and serving engine for LLMs](https://github.com/vllm-project/vllm) | ||
0. [Getting started with LLMs locally](https://tales.fromprod.com/2023/099/getting-started-with-llms-locally.html) | ||
0. [LMQL is a programming language for LLMs](https://lmql.ai/) | ||
0. [PhaseLLM helps you build robust LLM-driven software products](https://phasellm.com/) | ||
0. [DeepSpeed](https://github.com/microsoft/DeepSpeed) | ||
0. [Innovation Algebra](https://github.com/hannes-marais/innovation-algebra) | ||
0. [GPTCache : A Library for Creating Semantic Cache for LLM Queries](https://github.com/zilliztech/GPTCache) | ||
0. [PrivateGPT: Interact with your documents using the power of GPT, 100% privately, no data leaks](https://github.com/imartinez/privateGPT) | ||
0. [Auto-GPT](https://news.agpt.co/) | ||
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0. [LangChain](https://www.langchain.com/) | ||
0. [LangChain](https://integrations.langchain.com/) | ||
0. [Awesome LangChain](https://github.com/kyrolabs/awesome-langchain) | ||
0. [LLM Collection](https://www.promptingguide.ai/models/collection) | ||
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# Reference | ||
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0. [OpenChatKit](https://github.com/togethercomputer/OpenChatKit) | ||
0. [Transformers.js: State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!](https://github.com/xenova/transformers.js) | ||
0. [MLC LLM](https://llm.mlc.ai/) | ||
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# Reference | ||
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0. [Don't Do Invisible Work - Chris Albon](https://www.youtube.com/watch?v=HiF83i1OLOM) | ||
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documentation/bookmark/concurrency/crdt_conflict_free_replicated_data_types.md
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# Reference | ||
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0. [9 Things I Hate About Environment Variables](https://prefab.cloud/blog/9-problems-with-env-vars/) | ||
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# Reference | ||
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0. [Diamonds Suck!](https://diamondssuck.com/) | ||
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# Reference | ||
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0. [woodoo](https://woodoo.com/) | ||
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# Reference | ||
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0. [A correct-by-construction conversion from lambda calculus to combinatory logic](https://www.cambridge.org/core/journals/journal-of-functional-programming/article/correctbyconstruction-conversion-from-lambda-calculus-to-combinatory-logic/B2A7BCF12A7A5D52B294C78A6F04191F) | ||
0. [YOW! Lambda Jam 2018 - Edward Kmett - Combinators Revisited](https://www.youtube.com/watch?v=zhj_tUMwTe0) | ||
0. [Combinatory Logic in Programming](https://doc.lagout.org/science/0_Computer%20Science/2_Algorithms/Combinatory%20Logic%20in%20Programming.pdf) | ||
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documentation/bookmark/memory_management/destination_passing_style.md
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# Reference | ||
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0. [Destination-passing Style](http://www.fitzgibbon.ie/destination_passing_style) | ||
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