12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
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Updated
Dec 28, 2023 - Jupyter Notebook
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
☁️ Build multimodal AI applications with cloud-native stack
🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
Build Production-Grade AI Applications
Ask Questions in natural language and get Answers backed by private sources. Connects to tools like Slack, GitHub, Confluence, etc.
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Guided Text Generation
A curated list of modern Generative Artificial Intelligence projects and services
Sample code and notebooks for Generative AI on Google Cloud
Streamlined interface for generating images with AI in Krita. Inpaint and outpaint with optional text prompt, no tweaking required.
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://h2oai.github.io/h2o-llmstudio/
Actionable AI SDK for Web to enable text and voice conversations with actions (JavaScript, React, Angular, Vue, Ember, Electron)
Your Automatic Prompt Engineering Assistant for GenAI Applications
A generative AI extension for JupyterLab
💬 Personal AI application powered by GPT-4 and beyond, with AI personas, AGI functions, text-to-image, voice, response streaming, code highlighting and execution, PDF import, presets for developers, much more. Deploy and gift #big-AGI-energy! Using Next.js, React, Joy.
33B Chinese LLM, DPO QLORA, 100K context, AirLLM 70B inference with single 4GB GPU
Synthetic data generation for tabular data
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