Mangirdas Adomaitis on Open DataArtificial inteligence, Data science
Lithuanian tax agency open sourced monthly VAT collection data! Best part - it is per company level. Everyone can track how exactly each industry is affected by closedown! Find data here. There will be april update.

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Simonas Žilinskas on Making GovTech happenE-democracy | GovTech | Startups
My obsession with numbers and graphs 📈intensifies and I present you - the Number of the day (series that will last 2 days tops): 70% of corruption cases involve the use of anonymous companies. Solution? more Open Data 📦
The world’s dirty money by the numbers

Gabija GrušaitėAuthor of Stasys Šaltoka, Co-Founder of Qoorio & Vieta
"56% Share of EU citizens surveyed by the European Central Bank who had never seen a €500 note by 2009, seven years after they started circulating." Wow, these numbers are mind blowing
Naivedya ParamarthaMarketing, IoT, sports, coffee & books
Reading ‘Weapons of Math’ destruction is an opened to the concept of “more data leading to better decision making process”. Although data has brought in efficiency, growth and a valid proof of sorts, there are underlying factors that effect individuals (human factors, layers of understanding & the importance of feedback! ). A must read for everyone within the Information age.
Mangirdas Adomaitis on NLP - Natural Language ProcessingArtificial inteligence, Data science
GPT-3 paper from OpenAI is live. I really appreciate Open AI work, but feel somewhat disappointed.. ► Increasing number of parameters is technical challenge. But without new approaches - it boils down to server resources and money. GPT-3 has 175 billion parameters, 10x compared to GPT-2. Cost estimates are $7-12 million dollars to train the model! Cost is mind blowing. ► Collected more data is not a research problem. ► No open source model or code again?? Paper: Github repo:
Language Models are Few-Shot Learners
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