📵 The internet blackout in #Iran has entered its 76th day after 1800 hours. The measure is built on a class-based tiered system where the select few are granted access while the general public are silenced, the very kind of social structure Iranian authorities claim to oppose.
I stand with the people of Iran 👊❤️
I have a lot of Iranian friends, including my childhood best friend. Amazing people.
It's one of the great cultures and peoples in the history of the world.
Stay strong ❤️
Announcing my new course: Agentic AI!
Building AI agents is one of the most in-demand skills in the job market. This course, available now at https://t.co/zGHUh1loPO, teaches you how.
You'll learn to implement four key agentic design patterns:
- Reflection, in which an agent examines its own output and figures out how to improve it
- Tool use, in which an LLM-driven application decides which functions to call to carry out web search, access calendars, send email, write code, etc.
- Planning, where you'll use an LLM to decide how to break down a task into sub-tasks for execution, and
- Multi-agent collaboration, in which you build multiple specialized agents — much like how a company might hire multiple employees — to perform a complex task
You'll also learn to take a complex application and systematically decompose it into a sequence of tasks to implement using these design patterns.
But here's what I think is the most important part of this course: Having worked with many teams on AI agents, I've found that the single biggest predictor of whether someone executes well is their ability to drive a disciplined process for evals and error analysis. In this course, you'll learn how to do this, so you can efficiently home in on which components to improve in a complex agentic workflow. Instead of guessing what to work on, you'll let evals data guide you. This will put you significantly ahead of the game compared to the vast majority of teams building agents.
Together, we'll build a deep research agent that searches, synthesizes, and reports, using all of these agentic design patterns and best practices.
This self-paced course is taught in a vendor neutral way, using raw Python - without hiding details in a framework. You'll see how each step works, and learn the core concepts that you can then implement using any popular agentic AI framework, or using no framework. The only prerequisite is familiarity with Python, though knowing a bit about LLMs helps.
Come join me, and let's build some agentic AI systems!
Sign up to get started: https://t.co/FX35dloqw4
It's only been 1 day of CES 2024, and the tech developments have been incredible.
The 10 most impressive reveals of CES 2024 so far:
1. The world's first transparent MICROLED screen by Samsung
Seinfeld, nailing it again. #AIEthics "So if I have this right, we are smart enough to invent #AI, dumb enough to need it, and still so stupid we're not sure if we did the right thing."
You can now watch our Munk Debate on AI for free (below)
Be it Resolved, AI research and development poses an existential threat
PRO: @tegmark and Yoshua Bengio
CON: @ylecun and @MelMitchell1
To support civil and substantive debates visit our website: https://t.co/1PvLNrCepQ
@LeaKissner@Twitter 1. Privacy augmentation in a well established SDLC. 2. PrivacyByDesign in product development and how it interplays with privacy program mgmt. 3. Product design strategy with global market exposure while privacy and data security regulations evolving in countries
The women of Iran are speaking clearly. No longer will they tolerate the regime’s vision of women in society.
As women foreign ministers, we have a responsibility to amplify their voices as they fight for their human rights, and to work together in support of the people of 🇮🇷.
@IPCinfoprivacy I wonder what would we expect to see in Canada in response to the global data localization trend and cross-border data transfer controls.