anonPixel (

liked a Space 19 days ago

45

Automatic Hallucination Detection

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liked a model 24 days ago

nlpaueb/legal-bert-base-uncased

Fill-Mask • Updated Apr 28, 2022 • 319k • • 255

liked a Space 25 days ago

816

LTX Video Fast

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ultra-fast video model, LTX 0.9.7 13B distilled

reacted to Kseniase's post with 🚀 28 days ago

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7 Free resources to master Multi-Agent Systems (MAS)

Collective intelligence is the future of AI. Sometimes, a single agent isn't enough — a team of simpler, specialized agents working together to solve a task can be a much better option. Building Multi-Agent Systems (MAS) isn’t easy, that's why today we’re offering you a list of sources that may help you master MAS:

1. CrewAI tutorials -> https://docs.crewai.com/introduction#ready-to-start-building%3F
At the end of the page you'll find a guide on how to build a crew of agents that research and analyze a topic, and create a report. Also, there are useful guides on how to build a single CrewAI agent and a workflow

2. Building with CAMEL multi-agent framework -> https://github.com/camel-ai/camel
Offers guides, cookbooks and other useful information to build even million agent societies, explore and work with MAS

3. Lang Chain multi-agent tutorial -> https://langchain-ai.github.io/langgraph/agents/multi-agent/
Explains how to make agents communicate via handoffs pattern on the example of 2 multi-agent architectures - supervisor and swarm

4. "Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations" by Yoav Shoham and Kevin Leyton-Brown -> https://www.masfoundations.org/download.html
This book explains learning between agents, how multiple agents solve shared problems and communicate with focus on theory, practical examples and algorithms, diving into the game theory and logical approaches

Also, check out The Turing Post article about MAS -> https://www.turingpost.com/p/mas
Our article can be a good starting guide for you to explore what MAS is, its components, architectures, types, top recent developments and current trends

More resources in the comments 👇

If you liked it, also subscribe to the Turing Post: https://www.turingpost.com/subscribe

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upvoted an article 28 days ago

Article

🦸🏻#11: How Do Agents Plan and Reason?

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Feb 24

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upvoted a paper 28 days ago

Visual-RFT: Visual Reinforcement Fine-Tuning

Paper • 2503.01785 • Published Mar 3 • 80

liked a Space 3 months ago

2

CVTop50AI

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CV Vision Example for Top 50 AI Voting and Evaluation

liked a dataset 3 months ago

ajibawa-2023/Software-Architecture

Preview • Updated Oct 28, 2024 • 53 • 25

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New Dataset: Software-Architecture
Link: ajibawa-2023/Software-Architecture

I am releasing a Large Dataset covering topics related to Software-Architecture. This dataset consists of around 450,000 lines of data in jsonl.

I have included following topics:

Architectural Frameworks

Architectural Patterns for Reliability

Architectural Patterns for Scalability

Architectural Patterns

Architectural Quality Attributes

Architectural Testing

Architectural Views

Architectural Decision-Making

Advanced Research

Cloud-Based Architectures

Component-Based Architecture

Data Architecture

Emerging Trends

Event-Driven Architecture

Evolvability and Maintainability

Microservices and Monolithic

Microservices Architecture

Security Architecture

Service-Oriented Architecture

Software Design Principles

and Many More!

This dataset is useful in LLM development. Also those who are working on developing Software development related LLMs then this dataset can be useful.

This dataset is very useful to Researchers as well.