#jupyter_notebook #agents #ai #genai #langchain #langgraph #llm #llms #openai #tutorials
This repository offers a comprehensive collection of tutorials and implementations for building Generative AI (GenAI) agents. It helps users learn how to create simple conversational bots to complex multi-agent systems. By using this resource, you can improve your skills in developing AI solutions that automate tasks, enhance decision-making, and provide personalized experiences. The benefits include increased efficiency, better customer interactions, and the ability to innovate faster than competitors.
https://github.com/NirDiamant/GenAI_Agents
This repository offers a comprehensive collection of tutorials and implementations for building Generative AI (GenAI) agents. It helps users learn how to create simple conversational bots to complex multi-agent systems. By using this resource, you can improve your skills in developing AI solutions that automate tasks, enhance decision-making, and provide personalized experiences. The benefits include increased efficiency, better customer interactions, and the ability to innovate faster than competitors.
https://github.com/NirDiamant/GenAI_Agents
GitHub
GitHub - NirDiamant/GenAI_Agents: This repository provides tutorials and implementations for various Generative AI Agent techniques…
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A...
#jupyter_notebook #ai #langchain #llama_index #llm #llms #opeani #python #rag #tutorials
This project is about improving Retrieval-Augmented Generation (RAG) systems, which combine information retrieval with AI to generate more accurate and relevant responses. By sponsoring this project through GitHub Sponsors, you help support the development of these advanced techniques. Your sponsorship fuels innovation in RAG technologies, allowing for better maintenance and expansion of this valuable resource. This benefits users by providing them with cutting-edge tools and insights that enhance their work with AI systems.
https://github.com/NirDiamant/RAG_Techniques
This project is about improving Retrieval-Augmented Generation (RAG) systems, which combine information retrieval with AI to generate more accurate and relevant responses. By sponsoring this project through GitHub Sponsors, you help support the development of these advanced techniques. Your sponsorship fuels innovation in RAG technologies, allowing for better maintenance and expansion of this valuable resource. This benefits users by providing them with cutting-edge tools and insights that enhance their work with AI systems.
https://github.com/NirDiamant/RAG_Techniques
GitHub
GitHub - NirDiamant/RAG_Techniques: This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG)…
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont...
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#cplusplus #assembly #assembly_language #avx512 #benchmark #coroutines #cpp #cpp_programming #cpp17 #cpp20 #cuda #gcc #google_benchmark #hpc #io_uring #linux_kernel #llvm #ptx #ranges #tutorial #tutorials
This repository helps developers improve their coding skills by showing how to write faster and more efficient code. It includes examples for C++, CUDA, and Assembly, focusing on performance optimization techniques. By using this resource, developers can learn how to avoid common pitfalls like performance bottlenecks and improve their coding habits. It also provides benchmarks to compare different coding methods, helping users choose the best approach for their projects. This can lead to significant speed improvements and better use of computer resources.
https://github.com/ashvardanian/less_slow.cpp
This repository helps developers improve their coding skills by showing how to write faster and more efficient code. It includes examples for C++, CUDA, and Assembly, focusing on performance optimization techniques. By using this resource, developers can learn how to avoid common pitfalls like performance bottlenecks and improve their coding habits. It also provides benchmarks to compare different coding methods, helping users choose the best approach for their projects. This can lead to significant speed improvements and better use of computer resources.
https://github.com/ashvardanian/less_slow.cpp
GitHub
GitHub - ashvardanian/less_slow.cpp: Playing around "Less Slow" coding practices in C++ 20, C, CUDA, PTX, & Assembly, from numerics…
Playing around "Less Slow" coding practices in C++ 20, C, CUDA, PTX, & Assembly, from numerics & SIMD to coroutines, ranges, exception handling, networking and use...
#cplusplus #best_practices #cpp #graphics #graphics_programming #khronos #tutorials #vulkan #vulkan_api #vulkan_samples
Vulkan is a powerful tool for creating high-performance graphics and computing applications. It helps developers control the GPU better, which can lead to faster and more efficient performance compared to older systems like OpenGL. Vulkan is special because it works on many different platforms, such as Windows, Linux, and Android. This means developers can create applications that run smoothly across various devices. The Vulkan Samples provide resources and tutorials to help developers learn and optimize their applications, making it easier to create high-quality graphics and computing experiences.
https://github.com/KhronosGroup/Vulkan-Samples
Vulkan is a powerful tool for creating high-performance graphics and computing applications. It helps developers control the GPU better, which can lead to faster and more efficient performance compared to older systems like OpenGL. Vulkan is special because it works on many different platforms, such as Windows, Linux, and Android. This means developers can create applications that run smoothly across various devices. The Vulkan Samples provide resources and tutorials to help developers learn and optimize their applications, making it easier to create high-quality graphics and computing experiences.
https://github.com/KhronosGroup/Vulkan-Samples
GitHub
GitHub - KhronosGroup/Vulkan-Samples: One stop solution for all Vulkan samples
One stop solution for all Vulkan samples. Contribute to KhronosGroup/Vulkan-Samples development by creating an account on GitHub.
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