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Agent framework and applications built upon Qwen>=2.0, featuring Function Calling, Code Interpreter, RAG, and Chrome extension.
Qwen2.5-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
Witness the aha moment of VLM with less than $3.
Gaze-LLE: Gaze Target Estimation via Large-Scale Learned Encoders
Low-code framework for building custom LLMs, neural networks, and other AI models
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are commi…
A modular graph-based Retrieval-Augmented Generation (RAG) system
Finetune Llama 3.3, DeepSeek-R1 & Reasoning LLMs 2x faster with 70% less memory! 🦥
✨✨Latest Advances on Multimodal Large Language Models
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…
Official Implementation of NeurIPS 2024 paper "G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering""
A collection of AWESOME things about Graph-Related LLMs.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Distribute and run LLMs with a single file.
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
TypeChat is a library that makes it easy to build natural language interfaces using types.
Always know what to expect from your data.
🌈 Code samples of advanced features of Http4s in combination with some features of Fs2 not often seen.
🛒 The Shopping Cart application developed in the book "Practical FP in Scala: A hands-on approach"
A better notebook for Scala (and more)
Code samples for the Lightbend tutorial on writing microservices with Akka Streams, Kafka Streams, and Kafka
A set of sbt-native-pakager examples
Collection of what I consider good practices in Http4s (WIP)
My little sandbox for playing around with the FP + OOP + DDD combination, in particular using Rho, doobie, Docker, testing, etc in a project.
First class syntax support for type classes in Scala