The Transformers focus on textual data, which has been strongly encouraged by the LLMs. These neural networks are capable of translating, producing text, and responding to questions. Developers can manage and measure big data even with text databases in the trillions or billions. Unlike RNN techniques, they can be trained at once, applying multiple resources for faster learning. Translators are unique because they possess an autonomous attention system that enables them to comprehend language and derive meaning from various texts, including curriculum and grammar. As a result of the revolutionary change in the AI and NLP environment, numerous LLMs that are utilized in Chatbots, voice assistance, chat support, and other applications have been developed. In this article, we will look at the Top 10 most advanced LLMs in 2023.
1. GPT-4
GPT-4 is one of the largest and most advanced large language models humans make. It is made by OpenAI and has around 1 trillion parameters. It can write things, translate languages, and answer complex questions. On top of that, it can learn more about previous chat history and give customized responses. One more thing about GPT-4 is that it can understand both words and pictures, to find what’s in a picture or answer questions about it. It can even create new stories, quotes, and poems, so it’s an excellent tool for writers. Other than this, scientists can use it to study and learn faster. Programmers can use it to write computer code when they are confused or something. Businesses can use it to save time and money by automating things.
2. Llama
The LLaMA model is one of the most reliable and robust open-source models, created by Meta and Facebook. They created LLaMA models ranging from 7 billion to 65 billion parameters. According to them, their LLaMA-13B model can outperform OpenAI’s GPT-3 model, which has over 175 billion parameters. Many organizations use and fine-tune LLaMA models to make this open-source model even better and more reliable. But remember that the LLaMA model is only for research, so we cannot use it for commercial purposes, unlike the Falcon model.
3. PaLM 2
PaLM 2, also known as Bison-001, is an intelligent AI made by Google AI. It’s good at understanding user conversation and inputs, and it can surpass GPT-4 as an AI ChatBot. It can also generate reliable computer codes in several programming different languages, which is handy for people who are into programming like me. The best thing about the PaLM 2 model is that it has common sense and can do research on topics asked about. Compared to any other big model, PaLM 2 is faster in answering questions.
4. LLaMA 2
Llama 2 is one of the most known and powerful language models created by Meta AI, trained on vast amounts of textual datasets, which leads to greater language understanding, generation, and fine-tuning. It uses various deep learning methods for text generation, which include random sampling, beam search, and nucleus sampling. Llama 2 is also capable of working as task management software for helping individuals and teams organize their work, setting priorities, and enhancing productivity. It consists of a user-friendly interface that helps users in task creation, assignment, tracking, setting deadlines, and monitoring progress.
5. Alpaca
Alpaca is a unique language model designed especially for following user-given instructions. It is excellent at understanding and doing what users tell it to do which makes it suitable for virtual assisting, automating tasks, and giving step-by-step instructions for any job. Researchers at Stanford made Alpaca by fine-tuning Facebook’s LLaMA model, which we discussed earlier. Alpaca is not just made for general conversation it is also helpful in machine learning. It helps create clear and reliable answers crucial for complex computer programs related to machine learning.
6. Vicuna
Vicuna is a solid open-source computer AI made by LMSYS about which people are not aware. It uses LLaMA like many other open-source models in the market. They trained it on specially created instructions and learned from honest conversations of people, which were shared on sharegpt.com. Vicuna is prepared with 33 billion parameters and in tests Vicuna performs well but not as well as the GPT-4 model which is by far the larger model created in terms of parameters.
7. GPT-3.5
GPT-3.5 is a little sibling to the GPT-4 model with about 175 billion parameters, which is still a vast number. It helps make words, translate, and answer questions with comparatively higher speed than any other models in the market. It’s also good at producing poems, writing custom emails, music, and even codes, but it can sometimes create incorrect code samples, which the team is working to fix.
8. Claude
Claude v1 is an intelligent computer AI made by Anthropic and supported by Google. It’s built to be the best AI assistant in the market. It can understand and answer tough questions because it can take lots of words around 100,000 simultaneously as input. The best thing about Claude v1 is that it is good at handling complex tasks and is comparable to the OpenAI GPT-4 model. It’s great for businesses that need a powerful computer AI to make jobs easier, write content, and help resolve customer’s queries. Other than that, it’s also helpful for research purposes such as studying AI and language translation.
9. Cohere
Cohere is a company made by people who used to work at Google. They focus on helping big companies with their computer-related requirements. They have made lots of models from small ones with 6 billion parameters to really big ones with 52 billion parameters. One of their models called Cohere Command is getting recognized for being highly accurate and precise. Big companies like Spotify and Jasper use Cohere’s models to make their computers function better. Their Cohere Command model is great for business purposes and helpful.
10. Falcon
Falcon is one of the most famous open-source big language models free for everyone to use, and it’s even better in a few cases than other open-source models, such as LLaMA, StableLM, and MPT. It was made by the Technology Innovation Institute (TII) in the UAE. The best thing about Falcon models is that everyone can use them for business without any fees or specific rules and regulations. They initially made two Falcon models, one with 40 billion parameters and another with 7 billion. Another hyper-tuned model of the 40B parameter is Falcon-40B-Instruct, which is excellent at chatting and many other things. It mainly works with languages such as English, German, Spanish, and French, but it can work with other languages like Italian, Portuguese, Polish, Dutch, Romanian, Czech, and Swedish.
