Large language models are computer programs that can analyze and create text. They are trained using massive amounts of text data, which helps them get better at tasks like generating text. Language models are the foundation of many natural language processing (NLP) activities, such as speech-to-text and sentiment analysis. These models can look at a text and predict the next word. Examples of LLMs include ChatGPT, LaMDA, PaLM, etc.
Parameters in LLM help the model understand relationships in the text, which helps them predict the probability of word sequences. As the number of parameters increases, the model’s ability to capture complex relationships and its flexibility to handle rare words also increase.
ChatGPT
ChatGPT is an open source chatbot powered by the GPT-3 language model. It is capable of engaging in natural language conversations with users. ChatGPT is trained in a wide range of subjects and can help with a variety of tasks including answering questions, providing information, and generating creative content.
It is designed to be friendly and useful and can be adapted to different styles and contexts of conversation. With ChatGPT, one can have interesting and informative conversations on topics like latest news, current events, hobbies, and personal interests.
GPT-3 vs. ChatGPT
- GPT-3 is a more general purpose model that can be used for a wide range of language related tasks. ChatGPT is specifically designed for conversation tasks.
- ChatGPT is trained on a smaller amount of data than GPT-3.
- GPT-3 is more powerful than ChatGPT, since it has 175B parameters, compared to ChatGPT, which only has 1.5B parameters
Some AI tools that use the GPT-3 model:
Jasper
Jasper is an AI platform that enables businesses to quickly create custom content, blog posts, marketing copy, and AI-generated images. Jasper AI is built on top of the OpenAI GPT-3 model, and unlike ChatGPT, it is not free.
sonic writing
Writesonic is another model that uses the GPT-3 model. You can create quality content for social networks and websites. Users can write SEO-optimized marketing copy for their blogs, essays, Google ads, and sales emails to increase clicks, conversions, and sales.
Automatic bot builder
Gupshup’s Auto Bot Builder is a tool that harnesses the power of GPT-3 to automatically create advanced chatbots tailored to the needs of businesses.
LaMDA
LaMDA is a family of Transformer-based models that is specialized for dialog. These models have up to 137B parameters and are trained with 1.56T words of public dialog data. LaMBDA can engage in fluent conversations on a wide range of topics. Unlike traditional chatbots, it is not limited to predefined paths and can adapt to the direction of the conversation.
BARD
Bard is a chatbot that uses machine learning and natural language processing to simulate conversations with humans and provide answers to questions. It is based on LaMDA technology and has the potential to provide up-to-date information, unlike ChatGPT, which is based on data collected only up to 2021.
Palm
PaLM is a 540B parameterized language model that is capable of handling various tasks, including complex learning and reasoning. It can outperform state-of-the-art language models and humans on tests of language and reasoning. The PaLM system uses a few-shot learning approach to generalize from small amounts of data, approximating how humans learn and apply knowledge to solve new problems.
mT5
Multilingual T5 (mT5) is a text-to-text transformer model consisting of 13B parameters. He is trained in mC4 corpus, covering 101 languages like Amharic, Basque, Xhosa, Zulu, etc. mT5 is capable of achieving state-of-the-art performance on many multilingual NLP tasks.
ground squirrel
DeepMind’s Gopher language model is significantly more accurate than existing large language models on tasks such as answering questions on specialized subjects such as science and humanities, and equal to them on other tasks such as logical reasoning and mathematics. Gopher has 280B of parameters that you can adjust, making it larger than OpenAI’s GPT-3, which has 175 billion.
Chinchilla
However, Chinchilla uses the same computing budget as Gopher, with only 70 billion parameters and four times as much data. It outperforms models like the Gopher, GPT-3, Jurassic-1, and Megatron-Turing NLG in many post evaluation tasks. It uses significantly less computation for fine tuning and inference, which greatly facilitates subsequent use.
Sparrow
Sparrow is a chatbot developed by DeepMind that has been designed to correctly answer user questions and reduce the risk of insecure and inappropriate responses. The motivation behind Sparrow is to address the problem of language models producing incorrect, biased, or potentially harmful results. Sparrow is trained using human judgment to be more useful, correct, and harmless than reference pretrained language models.
claudio
Claude is an artificial intelligence-based conversational assistant powered by advanced natural language processing. Their goal is to be helpful, harmless, and honest. He has been trained using a technique called Constitutional Al. He was forced and rewarded to exhibit the aforementioned behaviors during his training using model self-monitoring and other AI security methods.
Ernie 3.0 Titan
Ernie 3.0 was released by Baidu and Peng Cheng Laboratory. It has 260B parameters and excels in understanding and generating natural language. He trained on Big Unstructured Data and achieved state-of-the-art results on over 60 NLP tasks, including machine reading comprehension, text categorization, and semantic similarity. Additionally, Titan performs well across 30 low-firing and zero-firing benchmarks, demonstrating its ability to generalize across multiple downstream tasks with a small amount of labeled data.
erniebot
Baidu, a Chinese technology company, announced that it would complete internal testing of its “Ernie Bot” project in March. Ernie Bot is an AI-powered language model similar to OpenAI’s ChatGPT, capable of understanding language, generating language, and generating text to image. The technology is part of a global race to develop generative artificial intelligence.
PanGu-Alpha
Huawei has developed a Chinese equivalent of OpenAI’s GPT-3 called PanGu-Alpha. This model is based on 1.1 TB of Chinese-language sources, including books, news, social media, and web pages, and contains more than 200 billion parameters, 25 million more than GPT-3. PanGu-Alpha is very efficient in completing various language tasks such as text summaries, answering questions, and generating dialogue.
OPT-IML
OPT-IML is a pre-trained language model based on the Meta OPT model and has 175 billion parameters. OPT-IML is tuned for better performance on natural language tasks, such as answering questions, summarizing text, and translation, using over 2,000 natural language tasks. It is more efficient in training, with a lower CO₂ footprint than OpenAI’s GPT-3.
blenderbot-3
BlenderBot 3 is a conversational agent that can interact with people and receive feedback on their responses to improve its conversational skills. BlenderBot 3 is based on Meta AI’s publicly available OPT-175B language model, which is approximately 58 times larger than its predecessor, BlenderBot 2. The model incorporates conversational skills such as personality, empathy, and insight and can carry on meaningful conversations. using long terms memory and internet search.
Jurassic-1
Jurassic-1 is a development platform released by AI21 Labs that provides next-generation language models for building applications and services. It offers two models, including the Jumbo version, which is the largest and most sophisticated language model ever released for general use. The models are highly versatile, capable of generating human-like text and solving complex tasks such as answering questions and classifying text.
exaona
Exaone is an artificial intelligence technology that quickly learns information from documents and patents and forms a database. It is an innovative breakthrough to address diseases through rapid learning of text, formulas and images in documents and chemical formulas. The invention allows for an easier accumulation of human knowledge in the form of data, which facilitates the development of new drugs.
Megatron–Turing NLG
The Megatron-Turing Natural Language Generation (MT-NLG) model is a transformer-based language model with 530 billion parameters, making it the largest and most powerful of its kind. Outperforms previous next-generation models in zero-, one-, and few-shot configurations and demonstrates unparalleled accuracy on natural language tasks such as completion prediction, common-sense reasoning, reading comprehension, natural language inferences, and sense disambiguation of words. .
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I am a civil engineering graduate (2022) from Jamia Millia Islamia, New Delhi, and I have strong interest in data science, especially in neural networks and its application in various areas.
