technical

Twelve Labs attracts KRW 43 billion in strategic investment… Technical cooperation with Databricks, Snowflake, Databricks, and SKT

Twelve Labs (CEO Jae-seong Lee), an organization specializing in image understanding artificial intelligence (AI), announced on the thirteenth that it had attracted a strategic investment value $30 million (roughly KRW 43 billion). This investment...

Musk-Trump Online Debate Delayed 40 Minutes Resulting from Technical Issues… “Resulting from DDoS Attack”

A web based debate between Tesla CEO Elon Musk and former President Donald Trump took place via X (Twitter). More attention was paid to the undeniable fact that the published was delayed by 42...

David Fattal, Co-Founder & Chief Technical Officer at Leia – Interview Series

David Fattal is the CEO and founder at Leia, the leading provider of glasses-free 3D display hardware and software solutions. He previously spent nine years at HP Labs working on various points of quantum...

Understanding Sparse Autoencoders, GPT-4 & Claude 3 : An In-Depth Technical Exploration

Introduction to AutoencodersPhoto: Michela Massi via Wikimedia Commons,(https://commons.wikimedia.org/wiki/File:Autoencoder_schema.png)Autoencoders are a category of neural networks that aim to learn efficient representations of input data by encoding after which reconstructing it. They comprise two foremost parts:...

The Battle of Open Source vs Closed Source Language Models: A Technical Evaluation

Large language models (LLMs) have captivated the AI community lately, spearheading breakthroughs in natural language processing. Behind the hype lies a posh debate – should these powerful models be open source or closed source?On...

Google’s Multimodal AI Gemini – A Technical Deep Dive

Sundar Pichai, Google's CEO, together with Demis Hassabis from Google DeepMind, have introduced Gemini in December 2023. This latest large language model is integrated across Google's vast array of products, offering improvements that ripple...

GPT and Beyond: The Technical Foundations of LLMs

In only a number of short months, large language models moved from the realm of specialised researchers into the on a regular basis workflows of knowledge and ML teams everywhere in the world. Here...

From Chaos to Consistency: Docker for Data Scientists Background What’s Docker? Docker Technical Features Installing Docker Deploying With Docker Example Summary & Further Thoughts References & Further Reading Connect With Me!

An introduction and application of Docker for Data ScientistsWe also used the ls command to point out all of the files within the Docker working directory.Docker and containers are implausible tools to make sure...

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