Post by habiba123820 on Nov 3, 2024 10:50:09 GMT
Written by humans or by artificial intelligence? The boundaries are becoming increasingly blurred! In addition to the speed with which they perform tasks, machine learning models stand out for their complexity in processing information, producing results that are increasingly faithful to natural human language.
Large Language Models (LLMs) can be defined as machine learning models capable of performing various tasks within the field of language. They are built with a focus on understanding and generating texts.
The term "large" in LLM corresponds to the fact that it is a model trained with a vast amount of data, which leads to the ability to relate multiple aspects and patterns of language.
What is the utility and distinctive wordpress web design agency feature of LLM?
Okay, AI-powered text generation isn’t the latest innovation, so what sets LLM apart? LLM stands out precisely because of its ability to generate highly coherent, grammatically correct, and cognitively compelling texts.
LLMs can perform tasks such as language translation , creating full papers from scratch, summarizing documents, assisting with virtual assistance, and even programming. What sets them apart is their ability to perform multiple functions within the same model.
The success of chatbots
Chatbots, such as ChatGPT and Bard , are examples of AI technologies that utilize LLMs. These interfaces have gained a lot of popularity in recent years by providing enhanced virtual assistance to users.
They can handle tasks ranging from administrative tasks like creating lists, organizing spreadsheets, doing calculations, scheduling meetings, and formatting texts to more creative tasks like offering travel tips and even composing poems!
ChatGPT is an interface released in 2022 by OpenAI. It uses the GPT-3.5 language models in its free version and GPT-4.0 in its paid version.
Bard is an interface developed by Google and launched in 2023. Its creation was based on the Language Model for Dialogue Applications (LaMDA) and later incorporated the Path Language Model (PaLM 2), capable of providing more accurate responses. As it is still in the testing phase, this interface only works in the browser and does not yet have application versions.
Ethical challenges of artificial intelligence
AI applications can bring many opportunities to companies , but there are ethical issues regarding the use of AI, such as LLMs, that you should pay attention to. The main points of concern are:
Political and Social Sensitivity : LLM training does not consider social sensitivity, which means it may generate texts with some degree of bias, political incorrectness, or even unethical content. Machine learning lacks real-world insight, no matter how good the training is and how large the number of parameters, they do not have socially sensitive filters like humans.
Fake News : Ensuring that information is secure is a concern when using LLMs. Data training does not include fact-checking. There is no commitment to the truth of the data, which can lead to outdated content, superficial interpretations, or even the generation of fake news, or malicious and defamatory texts.
Large Language Models (LLMs) can be defined as machine learning models capable of performing various tasks within the field of language. They are built with a focus on understanding and generating texts.
The term "large" in LLM corresponds to the fact that it is a model trained with a vast amount of data, which leads to the ability to relate multiple aspects and patterns of language.
What is the utility and distinctive wordpress web design agency feature of LLM?
Okay, AI-powered text generation isn’t the latest innovation, so what sets LLM apart? LLM stands out precisely because of its ability to generate highly coherent, grammatically correct, and cognitively compelling texts.
LLMs can perform tasks such as language translation , creating full papers from scratch, summarizing documents, assisting with virtual assistance, and even programming. What sets them apart is their ability to perform multiple functions within the same model.
The success of chatbots
Chatbots, such as ChatGPT and Bard , are examples of AI technologies that utilize LLMs. These interfaces have gained a lot of popularity in recent years by providing enhanced virtual assistance to users.
They can handle tasks ranging from administrative tasks like creating lists, organizing spreadsheets, doing calculations, scheduling meetings, and formatting texts to more creative tasks like offering travel tips and even composing poems!
ChatGPT is an interface released in 2022 by OpenAI. It uses the GPT-3.5 language models in its free version and GPT-4.0 in its paid version.
Bard is an interface developed by Google and launched in 2023. Its creation was based on the Language Model for Dialogue Applications (LaMDA) and later incorporated the Path Language Model (PaLM 2), capable of providing more accurate responses. As it is still in the testing phase, this interface only works in the browser and does not yet have application versions.
Ethical challenges of artificial intelligence
AI applications can bring many opportunities to companies , but there are ethical issues regarding the use of AI, such as LLMs, that you should pay attention to. The main points of concern are:
Political and Social Sensitivity : LLM training does not consider social sensitivity, which means it may generate texts with some degree of bias, political incorrectness, or even unethical content. Machine learning lacks real-world insight, no matter how good the training is and how large the number of parameters, they do not have socially sensitive filters like humans.
Fake News : Ensuring that information is secure is a concern when using LLMs. Data training does not include fact-checking. There is no commitment to the truth of the data, which can lead to outdated content, superficial interpretations, or even the generation of fake news, or malicious and defamatory texts.