Deep Dives

: Limitations of Machine Learning As an information scientist in today’s digital age, it's essential to be equipped to reply quite a lot of questions that go far beyond easy pattern recognition. Typical machine learning...

of the AI boom, the pace of technological iteration has reached an unprecedented level. Previous obstacles now appear to have viable solutions. This text serves as an “NMT 101” guide. While introducing our...

a part of a series of posts on optimizing data transfer using NVIDIA Nsight™ Systems (nsys) profiler. Part one focused on CPU-to-GPU data copies, and part two on GPU-to-CPU copies. On this post, we turn our attention...

In a recent Paris tech event, I had an exchange with data professionals. Our discussion focused on which domain is one of the best for data-driven professionals and find out how to best use...

Introduction undefined, I began eager about the parallels between point-anomaly detection and trend-detection. In relation to points, it’s generally intuitive, and the z-score solves most problems. What took me some time to determine was applying...

, off the back of Retrieval Augmented Generation (RAG), vector databases are getting a whole lot of attention within the AI world.  Many individuals say you would like tools like Pinecone, Weaviate, Milvus, or Qdrant...

social media, someone claims their “AI agent” will run your entire business when you sleep.It's as in the event that they can deploy AGI across factories, finance teams, and customer support using their...

or fine-tuned an LLM, you’ve likely hit a wall on the very last step: the Cross-Entropy Loss. The offender is the logit bottleneck. To predict the subsequent token, we project a hidden state into...