technical

How To Construct Effective Technical Guardrails for AI Applications

with a little bit of control and assurance of security. Guardrails provide that for AI applications. But how can those be built into applications? A couple of guardrails are established even before application coding...

How you can Write Insightful Technical Articles

, I discuss how you possibly can write technical articles. I even have been writing such articles for around 2.5 years, and I’ll undergo my experiences, how you'll find your individual area of interest,...

Can Developers Embrace “Vibe Coding” Without Enterprise Embracing AI Technical Debt?

When OpenAI co-founder Andrej Karpathy coined the term “vibe coding” last week, he captured an inflection point: developers are increasingly entrusting generative AI to draft code while they give attention to high-level guidance and...

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...

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