Interview | GenAI in software ontwikkeling
Jurre Brandsen, Machine Learning Engineer bij Aigency, bespreekt hoe AI een verouderde codebase efficiënt naar een moderne tech stack omzette. Hij benadrukt uitdagingen zoals het behouden van code-relaties, het belang van zorgvuldige prompt-engineering, end-to-end testen, en deelt zijn ervaringen met AI-tools zoals Copilot in softwareontwikkeling.
Interview | Data & AI
Niels Naglé, Area Lead Data & AI bij Info Support, benadrukt het belang van data bij AI-implementaties. Hij bespreekt waarom bedrijven eerder hun datahuishouding verwaarloosden en hoe dat nu verandert. Niels biedt praktisch advies, zoals een AI-readiness scan, en pleit voor een stapsgewijze aanpak om AI succesvol te integreren.
Interview | The importance of Explainable AI
Lucía Conde Moreno, een data scientist bij Info Support en Aigency, deelt haar expertise over verklaarbare AI in dit korte interview. Ze legt uit waarom het cruciaal is dat complexe AI-modellen begrijpelijk en transparant zijn, vooral in kritieke toepassingen zoals de gezondheidszorg. Lucía bespreekt de huidige staat van verklaarbare AI in bedrijven, de gevolgen van niet-uitlegbare modellen en de nieuwe EU-wetgeving op dit gebied.
Interview | Generatieve AI voor marketing
Kim Pot, vertelt in dit korte interview over hoe AI marketingprocessen kan optimaliseren, repetitieve taken kan automatiseren en marketeers meer ruimte geeft voor creativiteit. Kim bespreekt praktische toepassingen van AI in content creatie, geeft tips over het experimenteren met verschillende AI-tools, en benadrukt het belang van het maken van tijd voor AI-integratie in je werkprocessen.
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In the fast-paced world of artificial intelligence, the question arises: Can we accurately evaluate the capabilities of AI? This article explores whether IQ tests, designed to measure human intelligence, are suitable for assessing AI. While AI models like ChatGPT showcase impressive abilities, grading them based on IQ tests falls short. Such models are trained on a multitude of test variations, making them proficient at answering standardized questions. However, true intelligence encompasses more than test scores. We should recognize AI's unique strengths and explore alternative benchmarks that better capture its capabilities. It's time to move beyond outdated tests and embrace a more comprehensive understanding of AI intelligence.
Building language applications with Azure OpenAI service
We’ve been using ChatGPT quite a lot at work. As we used it more and more we found that keeping data within […]
How does ChatGPT works?
In the fast-paced world of artificial intelligence, the question arises: Can we accurately evaluate the capabilities of AI? This article explores whether IQ tests, designed to measure human intelligence, are suitable for assessing AI. While AI models like ChatGPT showcase impressive abilities, grading them based on IQ tests falls short. Such models are trained on a multitude of test variations, making them proficient at answering standardized questions. However, true intelligence encompasses more than test scores. We should recognize AI's unique strengths and explore alternative benchmarks that better capture its capabilities. It's time to move beyond outdated tests and embrace a more comprehensive understanding of AI intelligence.
IQ tests for AI are stupid
In the fast-paced world of artificial intelligence, the question arises: Can we accurately evaluate the capabilities of AI? This article explores whether IQ tests, designed to measure human intelligence, are suitable for assessing AI. While AI models like ChatGPT showcase impressive abilities, grading them based on IQ tests falls short. Such models are trained on a multitude of test variations, making them proficient at answering standardized questions. However, true intelligence encompasses more than test scores. We should recognize AI's unique strengths and explore alternative benchmarks that better capture its capabilities. It's time to move beyond outdated tests and embrace a more comprehensive understanding of AI intelligence.
Explainable AI: Why business leaders should care
Imagine sitting across from your doctor as she delivers unsettling news. She informs you that you have a high risk of dying […]
Did you know DVC doesn’t handle large datasets? Neither did we and here’s how we fixed it
We hit a nice roadblock yesterday while working on a dataset with 5 million samples. It took us 8 hours to upload […]
Fairlearn: The secret to teaching your models to play fair
Microsoft just announced a new suite of tools around Responsible AI during the Microsoft Build conference. One of the tools that they […]