Friday, November 22, 2024

Data Science Conference, Belgrade

Data Science Conference: Posts | LinkedIn


Post | LinkedIn

Luka Anicin, Nebojša Vasiljević, Ivan Luković and Dijana Oreški shared insights on how AI is transforming education through personalized learning, enhanced student engagement, and streamlined assessments, while also preparing professionals for interdisciplinary roles in the digital economy, advancing academic research with generative AI tools, and addressing ethical and inclusivity challenges for a more equitable future.



AI Agents: the future of AI

a very optimistic view of AI future... good sales!

Nvidia Just Revealed The Future Of AI Agents In 2025.. - YouTube


Jensen Huang Special Address from NVIDIA AI Summit Japan - YouTube


Intelligent agent - Wikipedia




Intro to AI agents - YouTube

What Are AI Agents? Benefits, Examples, Types | Salesforce US

What are AI Agents?- Agents in Artificial Intelligence Explained - AWS

AI agents — what they are, and how they'll change the way we work - Source @Microsoft

What Are AI Agents? | IBM

Non-agentic AI chatbots are ones without available tools, memory and reasoning. They can only reach short-term goals and cannot plan ahead. As we know them, non-agentic chatbots require continuous user input to respond. They can produce responses to common prompts that most likely align with user expectations but perform poorly on questions unique to the user and their data. Since these chatbots do not hold memory, they cannot learn from their mistakes if their responses are unsatisfactory.

In contrast, agentic AI chatbots learn to adapt to user expectations over time, providing a more personalized experience and comprehensive responses. They can complete complex tasks by creating subtasks without human intervention and considering different plans. These plans can also be self-corrected and updated as needed. Agentic AI chatbots, unlike non-agentic ones, assess their tools and use their available resources to fill in information gaps.






GoLang => assembly, speed up 450%

 Golang Weekly Issue 528: October 22, 2024

Speeding Up Calculations 450% with Go AssemblyGo’s assembler is heavily inspired by Plan 9’s (with Rob Pike and Ken Thompson, along with others, creating both). The author investigates using Go’s assembler to implement a particularly speedy SIMD (Same Instruction Multiple Data) library for Go. There’s also an interesting thread on Hacker News where Russ Cox (as rsc) adds some context.


SIMD describes computers with multiple processing elements that perform the same operation on multiple data points simultaneously.