Revolutionizing Language Models: The Byte Latent Transformer (BLT)

The panorama of artificial intelligence, particularly in natural language processing (NLP), is undergoing a transformative shift with the introduction of the Byte Latent Transformer (BLT), and Meta’s latest research... Read more »

Large Language Model Usage: Assessing The Risks And Ethics

With the ever-expanding use of large language models (LLMs) to generate information for users, there is an urgent need to assess and understand the risks and ethical implications of... Read more »

Driving Value From LLMs – The Winning Formula

I have observed a pattern in the recent evolution of LLM-based applications that appears to be a winning formula. The pattern combines the best of multiple approaches and technologies.... Read more »

LLMs Are More Than Generative AI

While large language models (LLMs) and generative AI have been all the rage over the past year, the most attention has been given to their intersection – the text... Read more »

What Businesses Should Know about Large Language Models

From shaping stories to simplifying complex articles to engaging in conversations that feel genuinely human, large language models (LLMs) are driving a new era of AI. In this article,... Read more »

No, That Is Not A Good Use Case For Generative AI!

While historically, there are always misunderstandings about a new technology or methodology, it seems to be even worse when it comes to generative AI. This is in part due... Read more »

Generative AI Unleashed: Revolutionizing Knowledge Work

The below is a summary of the original article on generative AI and knowledge work. In the evolving landscape of technological advancements, Generative Artificial Intelligence (AI) is emerging as... Read more »

Taking Large Language Models to The Next Level

In recent weeks, I’ve written several blogs related to the limitations and misunderstandings of popular large language models (LLMs) like ChatGPT. I’ve talked about common misunderstandings as well as... Read more »
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