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Must-read Papers on Large Language Model (LLM) Continual Learning
Ongoing Research Project for continaual pre-training LLM(dense mode)
This is a Phi-3 book for getting started with Phi-3. Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) avai…
Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databases, use RAG techniques, and showcase experiments with langc…
gpt-4o for windows, macos and linux
Context aware, pluggable and customizable data protection and de-identification SDK for text and images
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…
Microsoft Official Build Modern AI Apps reference solutions and content. Demonstrate how to build Copilot applications that incorporate Hero Azure Services including Azure OpenAI Service, Azure Con…
Azure OpenAIの基礎的な処理のサンプルNotebookリポジトリです。
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
prompt2model - Generate Deployable Models from Natural Language Instructions
A Tutorial about Programming for Natural Language Processing
Aligning pretrained language models with instruction data generated by themselves.
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
データセットを統合､クリーニング､クラスタリング､重複削除するパイプライン
The robust text processing pipeline framework enabling customizable, efficient, and metric-logged text preprocessing.
a generative Large Language Model for generalized linear and nonlinear multivariate latent-variable multilevel/mixed modelling
Examples and guides for using the Gemini API.
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.