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Is that LLM Actually


IIRC in the WAN show they mentioned that LLMs are not actual AI ...

LLM are AI. They aren't AGI. The other commenter is correct. AI doesn't mean the computer is actually thinking. It just means it can simulate ...

Is that LLM Actually "Open Source"? We Need to Talk ... - HackerNoon

In this blog, we dive deep into the complexities of AI openness, focusing on how Open Source principles apply—or fail to apply—to Large Language ...

Yes, large language models (LLMs) are not actually AI in that they ...

What am I missing here – is it that some people define intelligence as >= human, or that LLM are not intelligence because they're *just* ...

Is it Really Over for LLMs? [Thoughts] - by Devansh

On a related note- trying to push everything into an LLM is bad software design, and not every problem can be solved with this architecture. The ...

How Large Language Models Work. From zero to ChatGPT - Medium

The reason is that Large Language Models like ChatGPT are actually trained in phases. Phases of LLM training: (1) Pre-Training, (2) ...

What is a large language model (LLM)? - Cloudflare

Realistically, a deep learning model cannot actually conclude anything from a single sentence. But after analyzing trillions of sentences, it could learn ...

Do large language models know what they are talking about?

Large language models seem to possess the ability to reason intelligently, but does that mean they actually know things? ... LLM about their ...

LLM of the Gaps. We don't understand consciousness… - Steve Jones

There is no LLM in the gaps, but there are certainly gaps, and understanding those gaps is a much more sure way to achieving a truly intelligent ...

How Does a Large Language Model Really Work?

LLMs essentially predict the next word (technically, a "token" - part of a word) in a sequence. Given an input sequence or "context," the LLM ...

LLMs Aren't as Smart as You Think | by Jeff Ward | Healthy AI | Medium

It's actually trying to sound plausible but flat out lying. It has ... An LLM is a statistical model of language, and it will produce ...

Can LLMs Really Reason and Plan? - Communications of the ACM

wrong solutions, who is steering the LLM–even if they didn't set out to do so deliberately. The credit and blame for the ensuring accuracy, if ...

Will Large Language Models Really Change How Work Is Done?

... LLM-based chatbot that would answer employees' questions about available documentation, customer details, and risk evaluations. The chatbot ...

Large language models: are they really AI? - Apify Blog

Another reason is that people tend to confuse machine learning (ML) and its sub-field, deep learning (DL), with artificial intelligence. Though ...

What Is It Like to Be an LLM? - Fermyon

Descartes' thought experiment was designed to help us ask what we actually know about the world. There is a litany of other examples. The ...

how did LLMs get this far without any concept of understanding ...

For example have people directly know the possibility that the thing inside a computer is possibly an LLM ... Because until someone goes and actually reads the ...

What is an LLM, Really? How they Work & How to Work with Them

LLMs are statistical representations of knowledge bases. They have taken the world's information and knowledge and boiled it down to statistical principles.

What are Large Language Models (LLMs)? - TechTarget

Learn how the AI algorithm known as a large language model, or LLM, uses deep learning and large data sets to understand and generate new content.

Beyond the Buzzword: What is an LLM? - Luminance

Today, we're taking a deep dive into what an LLM actually is, how they work, and how we apply Luminance's LLM in the legal world. What is an LLM ...

Can You Really Test LLM? Here's What You Need to Know - YouTube

Because of that a lot of people deploy LLM without any testing. The first question is: can you test LLM? Well my answer will be no you ...

Can an LLM Understand What It's Saying? - Ryan Simonelli

The question is whether we can really make such an attribution. How we answer this question will depend on how we think about semantic knowledge ...