Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
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Updated
Jul 2, 2024 - HTML
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
Integrate cutting-edge LLM technology quickly and easily into your apps
This is the official PyTorch implementation of "LLM-QBench: A Benchmark Towards the Best Practice for Post-training Quantization of Large Language Models", and also an efficient LLM compression tool with various advanced compression methods, supporting multiple inference backends.
Text analytics for LLM apps. PostHog for prompts. Extract evaluations, intents and events from text messages. phospho leverages LLM (OpenAI, MistralAI, Ollama, etc.)
INT4/INT5/INT8 and FP16 inference on CPU for RWKV language model
Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
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 you quickly go from prototype to production.
Test your web app LLM integrations using existing testing frameworks. Confidently launch AI-driven webapps to production.
A framework for building custom AI Copilots 🤖 in-app AI chatbots, in-app AI Agents, & AI-powered Textareas.
✨ Zero-code distributed tracing and profiling, observability via eBPF 🚀
Easy-to-use and high-performance NLP and LLM framework based on MindSpore, compatible with models and datasets of 🤗Huggingface.
Experience the power of Clarifai’s AI platform with the nodejs SDK. 🌟 Star to support our work!
A blazing fast inference solution for text embeddings models
The all-in-one LLM developer platform: prompt management, evaluation, human feedback, and deployment all in one place.
🤘 TT-NN operator library, and TT-Metalium low level kernel programming model.
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