OpenAI is keeping the architecture of GPT-4 closed not because of some existential risk to humanity but because what they’ve built is...

Pre-trained AI models represent the most important architectural change in software development. They make it possible for individual...

Lambda architecture is a powerful tool in software development that helps organizations build real-time, scalable, and fault-tolerant...

Modern data platforms have changed dramatically in recent years. Classical planned traditional on-premise Data Warehouses are...

Today’s digital economy is shifting toward dependence on microservices — self-contained and reusable software components — working in...

When people were talking more on GPT4, BARD and other LLMs slowly Github Copilot is eating the software programming market. Github comes...

During a major cricket tournament, Disney+ Hotstar captured 5 billion emojis to distill the mood of the 50 million-strong streaming...

𝟭. 𝗖𝗹𝗶𝗲𝗻𝘁-𝗦𝗲𝗿𝘃𝗲𝗿: Separation of concerns is the principle behind the client-server constraints. By separating the user...

I really advise to push your Machine Learning models to production as FAST as possible! It is easy to spend months improving your models...

The noted physicist answers 3 questions about the challenges of quantum computing and why he’s excited to be part of a technology...

The thought of connecting our brains with the computer, be able to communicate wirelessly without speaking a word, be able to fantasise...

Around 2012, computer scientist-turned-biophysicist Alex Zhavoronkov started to notice that artificial intelligence was getting...

The first generation of AI was rules-based and emulated classical logic to draw reasoned conclusions within a specific, narrowly defined...

Three factors drive the advance of AI: algorithmic innovation, data, and the amount of compute available for training. Algorithmic...

Deep learning has had exciting progress in the last few years especially in supervised learning tasks in computer vision, language,...

Microsoft released an NLG which is massive deep learning language model such as BERT and GPT-2, with billions of parameters learned from...

Sequence-to-sequence (seq2seq) models have revolutionized the field of machine translation and have become the tool of choice for various...

Named Entity Linking

Alternating Direction Method of Multipliers (ADMM) has been used successfully in many conventional machine learning applications and is...

Layer-wise Adaptive Moments optimizer for Batch training (LAMB) Reduces BERT Pre-Training Time From Days to Minutes. Google Brain...