A realtime and indexing and structured extraction engine for Unstructured Data to build Generative AI Applications
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Updated
Jul 16, 2024 - Rust
A realtime and indexing and structured extraction engine for Unstructured Data to build Generative AI Applications
A high-throughput and memory-efficient inference and serving engine for LLMs
Introducing the Neuroweaver Collaborative AI Interaction Framework: an AI collaboration framework like no other. Optimize your favorite AI to act as a master craftsman of the mind, weaving together strands of wisdom, knowledge, creativity, and empathy to create bespoke and productive experiences for each user.
Test your prompts, agents, and RAGs. Use LLM evals to improve your app's quality and catch problems. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration.
awesome list of AI-Driven Development.
Secure cloud runtime for AI apps & AI agents. Fully open-source.
A curated list of resources dedicated to Python libraries, LLMs, dictionaries, and corpora of NLP for Japanese
LLMs prompt augmentation with RAG by integrating external custom data from a variety of sources, allowing chat with such documents
SYNAPSE (SYNthetic AI Pot for Security Enhancement) and SYNAPSE-to-MITRE code repository. This project has been realized for my MSc degree thesis in Cybersecurity at Politecnico di Torino, in partnership with SECURITY REPLY S.R.L.
Language modeling and instruction tuning for Russian
ms-swift: Use PEFT or Full-parameter to finetune 300+ LLMs or 50+ MLLMs. (Qwen2, GLM4v, Internlm2.5, Yi, Llama3, Llava-Video, Internvl2, MiniCPM-V, Deepseek, Baichuan2, Gemma2, Phi3-Vision, ...)
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