Space and Time | ZK Coprocessor
Sub-second ZK coprocessor. AI Studio for SQL and dashboards. Indexed blockchain data & decentralized database. Verifiable compute for smart contracts and AI.
AI
Sketch: A Toolkit for Streamlining LLM Operations
Large language models (LLMs) represented by GPT family have achieved remarkable success. The characteristics of LLMs lie in their ability to accommodate a wide range of tasks through a generative...
Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models
TonghanWang/ROMA: Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)
Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039) - TonghanWang/ROMA
RAFT (Retrieval Augmented Fine-tuning): A new way to teach LLMs (Large Language Models) to be better at RAG (Retrieval Augmented Generation)
RAFT “Retrieval-Augmented Fine-Tuning” combines the benefits of RAG (Retrieval-Augmented Generation) and Fine-Tuning for better domain adaptation
microsoft/RecAI: Bridging LLM and Recommender System.
Bridging LLM and Recommender System.
microsoft/UniRec: UniRec is an easy-to-use, lightweight, and scalable implementation of recommender systems. Its primary objective is to enable users to swiftly construct a comprehensive ecosystem of recommenders using a minimal set of robust and practical recommendation models.
UniRec is an easy-to-use, lightweight, and scalable implementation of recommender systems. Its primary objective is to enable users to swiftly construct a comprehensive ecosystem of recommenders us...
RedPill
Making World-Class AI Accessible to Everyone, Everywhere.
NestMind AI Studio - Next-Gen AI Solutions Backed by Swiss Privacy | Free & Instant Access
Leverage NestMind AI Studio for advanced AI tools in coding, writing, and research. Free, instant access with no registration required. Start your AI journey today!
NetMind Power
NetMind Power, a Decentralized AI Platform, shared computing and AI model development with
NMT crypto rewards. Enabling accessible machine learning for all
Exploring the Future of AI Agents in Crypto - Google Docs
LazyGraphRAG sets a new standard for GraphRAG quality and cost
Introducing a new approach to graph-enabled RAG. LazyGraphRAG needs no prior summarization of source data, avoiding prohibitive up-front indexing costs. It’s inherently scalable in cost and quality across multiple methods and search mechanisms:
Is Groq Down? Live Status & Performance Monitor - Helicone
Real-time Groq status checker. Monitor API availability, response times, and error rates. Track Groq performance metrics and service reliability with live data.
Semantic-enhanced Programmable Graph
语义增强可编程知识图谱SPG
Chat2DB - AI Text2SQL Tool for Easy Database Management
Chat2DB is an AI-powered SQL client that transforms natural language into SQL queries. Supports MySQL, Redis, MongoDB, and enhances database management with Text2SQL and BI features.
WLiK/LLM4Rec-Awesome-Papers: A list of awesome papers and resources of recommender system on large language model (LLM).
A list of awesome papers and resources of recommender system on large language model (LLM). - WLiK/LLM4Rec-Awesome-Papers
Parsing PDFs(text, image and tables) for RAG based applications using LlamaParse (LlamaIndex).
In this article, we are going to show how the recent LlamaParse Reader update from LlamaIndex is going to help us in extracting important…
Browserbase: A web browser for AI agents & applications
Open to developers everywhere. We can't wait to see what you build.
Unstract: LLM Powered ETL for Unstructured Data
Unstract is an open-source, no-code platform purpose-built for extracting data from unstructured documents using LLMs, with high accuracy. Easily deploy API and ETL pipelines for your unstructured data.
microsoft/PromptWizard: Task-Aware Agent-driven Prompt Optimization Framework
Task-Aware Agent-driven Prompt Optimization Framework - microsoft/PromptWizard
Genesis
AI Malware: Types, Real Life Examples, and Defensive Measures
AI-generated malware refers to malicious software leveraging artificial intelligence techniques.
Undeclared functionality in machine learning systems
Hidden logic, data poisoning, and other targeted attack methods using AI systems.
AI Supply Chain Security: Hugging Face Malicious ML Models - NSFOCUS, Inc., a global network and cyber security leader, protects enterprises and carriers from advanced cyber attacks.
Dive into the AI Supply Chain Security: Uncover the exploitation of Hugging Face Malicious ML Models and the methods to counteract them.
Data Scientists Targeted by Malicious Hugging Face ML Models with Silent Backdoor
Is Hugging Face the target of model-based attacks? See a detailed explanation of the attack mechanism and what is required to identify real threats
Hugging Face AI Platform Riddled With 100 Malicious Code-Execution Models
The finding underscores the growing risk of weaponizing publicly available AI models and the need for better security to combat the looming threat.
Model Scanner | HiddenLayer
Protecting your digital supply chain by detecting adversarial or malicious code, and ensuring your ML models are secure for deployment with HiddenLayer's Model Scanner.
Threat-Actors-use-of-Artifical-Intelligence/Dark LLMs and Malicious AIs.MD at main · cybershujin/Threat-Actors-use-of-Artifical-Intelligence
Contribute to cybershujin/Threat-Actors-use-of-Artifical-Intelligence development by creating an account on GitHub.
The Dark Side of Generative AI: Five Malicious LLMs Found on the Dark Web
Black Hat hackers have their AI chatbots too, what does the dark side of generative AI look like? We look at five of the malicious LLMs found on the dark web
20 LLM evaluation benchmarks and how they work
LLM benchmarks are standardized tests for LLM evaluations. This guide covers 20 benchmarks from MMLU to Chatbot Arena, with links to datasets and leaderboards.