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Simple, unified interface to multiple Generative AI providers
Azure Machine Learning Engineering, published by Packt
Superduper: Build end-to-end AI applications and agent workflows on your existing data infrastructure and preferred tools - without migrating your data.
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
Low-code platform for building business applications. Connect to databases, cloud storages, GraphQL, API endpoints, Airtable, Google sheets, OpenAI, etc and build apps using drag and drop applicati…
Open source documentation of Microsoft Azure
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Agentless🐱: an agentless approach to automatically solve software development problems
SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2…
Open sourced predictions, execution logs, trajectories, and results from model inference + evaluation runs on the SWE-bench task.
A repository of code samples for Vector search capabilities in Azure AI Search.
A framework for prompt tuning using Intent-based Prompt Calibration
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI
ARAGOG- Advanced RAG Output Grading. Exploring and comparing various Retrieval-Augmented Generation (RAG) techniques on AI research papers dataset. Includes modular code for easy experimentation an…
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of …
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Get up and running with Llama 3.3, Phi 4, Gemma 2, and other large language models.
TART: A plug-and-play Transformer module for task-agnostic reasoning
Hydra is a framework for elegantly configuring complex applications
Compose Multiplatform, a modern UI framework for Kotlin that makes building performant and beautiful user interfaces easy and enjoyable.
Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
Fit interpretable models. Explain blackbox machine learning.
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search