Temperature 0, Freezing Point

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            <h2>What Is a Large Language Model? | Guide to LLMs</h2>
            <div><h3>A large language model (LLM) is a type of artificial intelligence model that has been trained through deep learning…</h3></div>
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    </div><p id="3eb7">When we speak about temperature in the context of a Large Language model, we speak about the degrees of freedom that we give our model. Indeed, such a model’s goal is to predict the next word in a phrase based on statistical inference. It infers from the millions of documents it has ingurgitated during the training phase.</p><p id="b2fd">Let us take an example. In a specific country, 55% of the population’s preferred meal is pizza. It is pasta for 35% of the population and the remaining people really enjoy tacos.</p><p id="157d">Well, if you feed your model with this information, and specify a temperature of 0, then the model will bravely repeat that this population likes pizza. If you run it at a higher temperature, it may start to mention pasta sometimes or even tacos. Somehow, the model becomes more inclusive.</p><p id="1c37">In most cases,

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the specialists recommend using the model at a low temperature. As a consequence, a narrow solution is consistently produced. In a world in which more and more of our views and decisions are assisted, defined by such Large Language Models, we will soon end up with only a limited set of standards. Our lives will lose their salt. Life will lose its salt. We will end up looking like the robots that constrain us.</p><p id="7bac">Predicting the future will be slowly replaced by “dictating the future”, which is the unspoken goal of many of the scientists that develop these solutions. They hate nothing more than the idea that their lives depend on random events.</p><p id="5315">For more, you can check:</p><div id="b70a" class="link-block"> <a href="https://a.co/d/8U4XFHv"> <div> <div> <h2>Dictatorship of experts: From predicting to dictating: the end of the undefined future, the new…</h2> <div><h3>Are you looking for a life in which your every move is normalized, standardized? Are you ready to give up your freedom…</h3></div> <div><p>a.co</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*sJCj3gfxCa0sXA5q)"></div> </div> </div> </a> </div></article></body>

Temperature 0, Freezing Point

Pierre Matile, produced with Midjourney

This is not an article about the degree 0, the temperature at which water becomes a solid, at least under specific pressure conditions.

This is an article about a very disturbing aspect of Large Language models like ChatGPT.

A large language model (LLM) is a type of artificial intelligence model that has been trained through deep learning algorithms to recognize, generate, translate, and/or summarize vast quantities of written human language and textual data. Large language models are some of the most advanced and accessible natural language processing (NLP) solutions today.

As a form of generative AI, large language models can be used to not only assess existing text but to generate original content based on user inputs and queries.

When we speak about temperature in the context of a Large Language model, we speak about the degrees of freedom that we give our model. Indeed, such a model’s goal is to predict the next word in a phrase based on statistical inference. It infers from the millions of documents it has ingurgitated during the training phase.

Let us take an example. In a specific country, 55% of the population’s preferred meal is pizza. It is pasta for 35% of the population and the remaining people really enjoy tacos.

Well, if you feed your model with this information, and specify a temperature of 0, then the model will bravely repeat that this population likes pizza. If you run it at a higher temperature, it may start to mention pasta sometimes or even tacos. Somehow, the model becomes more inclusive.

In most cases, the specialists recommend using the model at a low temperature. As a consequence, a narrow solution is consistently produced. In a world in which more and more of our views and decisions are assisted, defined by such Large Language Models, we will soon end up with only a limited set of standards. Our lives will lose their salt. Life will lose its salt. We will end up looking like the robots that constrain us.

Predicting the future will be slowly replaced by “dictating the future”, which is the unspoken goal of many of the scientists that develop these solutions. They hate nothing more than the idea that their lives depend on random events.

For more, you can check: