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A Coding Implementation to Build Bulletproof Agentic Workflows with PydanticAI Using Strict Schemas, Tool Injection, and Model-Agnostic Execution

In this tutorial, we build a production-ready agentic workflow that prioritizes reliability over best-effort generation by enforcing strict, typed outputs at every step. We use PydanticAI to define clear response schemas, wire in tools via dependency injection, and ensure the agent can safely interact with external systems, such as a database, without breaking execution.…

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Exposing biases, moods, personalities, and abstract concepts hidden in large language models | MIT News

By now, ChatGPT, Claude, and other large language models have accumulated so much human knowledge that they’re far from simple answer-generators; they can also express abstract concepts, such as certain tones, personalities, biases, and moods. However, it’s not obvious exactly how these models represent abstract concepts to begin with from the knowledge they contain.Now…

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Zyphra Releases ZUNA: A 380M-Parameter BCI Foundation Model for EEG Data, Advancing Noninvasive Thought-to-Text Development

Brain-computer interfaces (BCIs) are finally having their ‘foundation model’ moment. Zyphra, a research lab focused on large-scale models, recently released ZUNA, a 380M-parameter foundation model specifically for EEG signals. ZUNA is a masked diffusion auto-encoder designed to perform channel infilling and super-resolution for any electrode layout. This release includes weights under an Apache-2.0 license…

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[Tutorial] Building a Visual Document Retrieval Pipeline with ColPali and Late Interaction Scoring

import subprocess, sys, os, json, hashlib def pip(cmd): subprocess.check_call([sys.executable, “-m”, “pip”] + cmd) pip([“uninstall”, “-y”, “pillow”, “PIL”, “torchaudio”, “colpali-engine”]) pip([“install”, “-q”, “–upgrade”, “pip”]) pip([“install”, “-q”, “pillow<12”, “torchaudio==2.8.0”]) pip([“install”, “-q”, “colpali-engine”, “pypdfium2”, “matplotlib”, “tqdm”, “requests”]) Source link

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Tavus Launches Phoenix-4: A Gaussian-Diffusion Model Bringing Real-Time Emotional Intelligence And Sub-600ms Latency To Generative Video AI

The ‘uncanny valley’ is the final frontier for generative video. We have seen AI avatars that can talk, but they often lack the soul of human interaction. They suffer from stiff movements and a lack of emotional context. Tavus aims to fix this with the launch of Phoenix-4, a new generative AI model designed…

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How AI and Virtual Assistant help.

986 Photos   |   24 Courses   |   18 Nominations


Ready to kickstart your career as a Virtual Assistant? This free YouTube course is designed to guide you — even if you’re starting from scratch. Learn essential VA skills, tools, and strategies to land clients, build your profile, and work from anywhere.

✅ What You’ll Learn:

  • What a Virtual Assistant is and what they do
  • Top skills every successful VA should master
  • How to create a winning profile and proposal
  • Tools (including AI!) to boost your productivity
  • Real client examples and platforms to apply on

No experience? No problem! Start learning today and become a confident, skilled Virtual Assistant — for free!

AI tools are transforming the way we work, create, and communicate. From writing emails and generating images to automating tasks and analyzing data, these smart tools help individuals and businesses save time, boost productivity, and stay competitive in the digital age.

Whether you’re a freelancer, virtual assistant, marketer, content creator, or entrepreneur — AI tools can simplify your workflow and unlock powerful results..

🔍 With AI Tools, You Can:

🎥 Create content, captions, and videos with ease

✍️ Write faster with tools like ChatGPT

🎨 Design stunning graphics using Canva AI

🧠 Brainstorm ideas and strategies in seconds

📅 Automate repetitive tasks and save hours daily

📈 Make smarter decisions with AI-powered analytics


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