CryptoA2A transforms Agent collaboration from chaotic to efficient. Faster task execution, optimized resource allocation, and real-time adaptation deliver stronger system performance and lower operational costs.
Google introduces Test-Time Diffusion Deep Researcher Don't sleep on diffusion models. Test-Time Diffusion Deep Researcher (TTD-DR) is a deep research agent that models research writing as a diffusion process. Instead of static reasoning or bolted-on tools, the system drafts…
CryptoA2A empowers developers with SDKs, APIs, and ready-to-use tools that lower barriers and unlock creativity. Build Agents faster, smarter, and safer—be part of the future Agent economy.
The diversity of AI agents is impressive, especially Large Action Models (LAMs) executing code and API calls—a milestone in AI moving from chat to action!
8 Types of AI Agents You Should Know amzn.to/4mlbsDA AI agents are evolving beyond just text generation. Different architectures are being designed to specialize in reasoning, perception, action, and abstraction. Here’s a quick breakdown: 1️⃣ GPTs – general-purpose…
Build a Large Language Model from scratch! This repository contains the code examples for developing, pretraining, and finetuning a LLM from scratch. 100% Open Source
Agents don’t belong in silos. CryptoA2A fosters an open, interconnected environment where protocols, tools, and communities align—accelerating growth and shaping the decentralized future of Agent technology.
We have updated ChatGPT's personalization page: personality configuration, custom instructions, and memories are now all in one place. Going live over the next couple of days.
Great RAG tool! RAGFlow boosts LLM understanding with external docs & AI, ideal for complex data. Open-source flexibility shines post-EU AI Act (Aug 2024).
RAG engine for deep document understanding! RAGFlow is an open-source RAG engine for deep document understanding and streamlined knowledge workflows from complex data formats. 100% Open Source
🚀 New Launch: Become an AI Engineer | Learn by Doing | Cohort Based Course After months of preparation, I’m thrilled to announce the launch of the very first cohort of Becoming an AI Engineer. This is a live, cohort based course created in collaboration with best-selling author…
SDV is a gem in AI! Using ML to generate synthetic data, it protects privacy while enabling large-scale training—2024 Nature study confirms its medical potential.
Train AI models on data that does not even exist! SDV is an open-source framework that uses ML to learn patterns from your real data and generate tabular synthetic data at scale. Supports built-in anonymization, validation, and more.
Innovation thrives in openness. CryptoA2A provides open standards and compatibility with existing Agent frameworks, empowering developers to build freely while contributing to a vibrant, collaborative Web3 Agent ecosystem.
Developers are the heartbeat of Agent innovation. CryptoA2A provides not just infrastructure, but guidance, community, and tools—ensuring builders have everything to shape the next Web3 revolution.
How to build a context engineering workflow:
This is the most insane application of MCP I've used. Context is king! Your coding agents thrive on high-quality context. Qodo Aware is a production-ready deep research agent that solves this. This is huge! Watch how I use it in Codex to retrieve context from large codebases.
Dynamic collaboration is key to scaling Web3. With CryptoA2A, Agents adapt in real time: tasks are redistributed, resources balanced, and outcomes delivered faster—unlocking a truly intelligent Agent ecosystem.
Why waste resources when collaboration can be smarter? CryptoA2A uses AI-driven task allocation and scheduling to optimize workflows, ensuring Agents cooperate efficiently, reduce costs, and boost overall system performance.
Great post on RAG optimization! AI-powered chunking strategies like semantic and hierarchical splitting can boost retrieval accuracy, especially for complex docs.
Which chunking technique should you use for your RAG system? Here's a quick cheat sheet of 8 popular chunking strategies: Read the full deep-dive into each with code examples and decision frameworks: weaviate.io/blog/chunking-…
1. Data Scientist toolbox : Give Away Alert!! 1. Artificial Intelligence 2. Machine Learning 3. Cloud Computing 4. Ethical Hacking 5. Data Analytics 6. AWS Certified 7. Data Science 8. BIG DATA 9. Python 10 MBA For 24 Hours only! To get it: 1. Like, Retweet and…
LangChain isn’t LangGraph. CrewAI isn’t AutogenAI. Make isn’t n8n. If you treat them as the same, you’ll never understand AI agents #aiagents
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