Large Language Models, or LLMS for short, have taken the world by storm in 2023. With the release of OpenAI’s ChatGPT, workers and students flocked to this AI which opened the eyes of many companies both within tech and outside of tech to the power of LLMs. These models have been used for everything from generated text and helping coders find errors in codes, to answering questions and even creating works of art.
In this blog, we’re going to explore the top LLMs of 2023 and maybe find out why they’re popular.
Top Large Language Models of 2023
LLaMa: LLaMa (Language Model for Academic Applications) is a large language model from Google AI. It’s designed specifically for natural language processing tasks in the academic domain, such as summarization, question answering, and text classification.
OpenAI’s GPT3.5 & 4: These models kickstarted public interest in large language models due to their user-friendly applications and ability to generate desired content. Over the last year, the GPT model has gotten even bigger, and more powerful and creative users have taken advantage of its robust dataset to make incredible things. As you may know, the GPT models can be used for a wide variety of tasks, including text generation, code generation, and question answering.
LaMDA: LaMDA or Language Model for Dialogue Applications is a large language model from Google AI. It’s designed specifically for conversational tasks, such as chatting with users and answering their questions.
PaLM 2: PaLM is a large language model that is also from Google AI. It’s a massive model with over 540 billion parameters, and it’s designed for a wide variety of reasoning tasks, including text generation, code generation, math, translation, multilingual proficiency, and question-answering.
Tongyi Qianwen: Tongyi Qianwen is the Chinse answer to ChatGPT from OpenAI. It is a large language model developed by Alibaba Cloud. Designed specifically for the Chinese language, it’s said to be easy to use and able to work in a similar manner to the GPT model. Currently, it’s one of the most powerful Chinese LLMs available.
Vicuna 33B: Vicuna 33B is a large language model from Meta AI. It’s a massive model with over 33 billion parameters. Vicuna is a chat assistant that was trained by fine-turning the Llama model on shared user conversations collected by SHareGPT. It’s designed for a wide variety of tasks, including text generation, code generation, and question-answering.
Claude: Claude is a large language model from Anthropic who partnered with companies such as Quora, DuckDuckGO, and Notion to create an AI assistant that can be helpful, harmless, and honest. It’s designed specifically for creative tasks, such as writing poetry, code, and musical compositions.
Bard: Bard is Google’s answer to OpenAI’s ChatGPT. It’s designed specifically for generating text, and other content generation tasks, it has a simple user interface that allows for easy prompting. Currently, Bard is being supercharged with Google’s latest model, Gemini, and is promising to outperform ChatGPT on similar tasks.
Falcon: Falcon is specifically designed for summarization tasks, and it’s one of the best summarization models available. It can generate summaries that are accurate, concise, and informative. Falcon is also able to generate summaries in a variety of styles, including news, academic, and creative.
Codex: Codex is a large language model from OpenAI that is designed specifically for code generation tasks. Currently, this model is what is powering GitHub’s Copilot. It’s proficient in more than a dozen programming languages and is hoping to help reduce the burden of simple and cumbersome tasks for developers so they can focus more on planning and research.
Alpaca: Alpaca is a large language model that is made for artists. According to the team, this model can provide a personalized AI toolkit designed to help artists iterate faster and assist them in producing more work. Some of the tools included controlled image generation, workflow toolkits, and more.
Bert: Bert is a large language model from Google AI. It’s designed specifically for natural language understanding tasks, such as text classification and question answering in a manner that can understand the contextual elements of human language. That’s because it is designed specifically for natural language understanding tasks, such as text classification and question answering.
2023 has been an amazing year for LLMs, research, and deployment of these models. Companies are quickly seeing the value of this technology and as domain-specific models come online, it’s likely that LLMs will only grow in importance in the coming years.
Now if you want to stay ahead of the game when it comes to LLMs, then you don’t want to miss ODSC East 2024. At East, you’ll not only engage with fellow data scientists and professionals but also learn from the leading researchers who are paving the way for large language models and AI.
Passes are limited and are currently 70% off, so you don’t want to miss your chance. Get yours today!