Introduction:
LLMs means Large Language Model. These models are trained on huge amount of text data to perform tasks like answering questions, writing content and translate languages by guessing the most appropriate next word or sentence.
How It Works:
When a user types in a prompt the model makes a response one word at a time by guessing the next most likely word is based on the input.
Smaller units of text are called tokens. tokens are firstly then converted into numerical values. For example the phrase “Hey there” could be change in to token ,similar to 1428 and 23688.
BERT:
BERT stands for Bidirectional Encoder Representations from Transformers. It is a powerful language model created by Google. It understands how words relate to each other by looking at the full context of a sentence from both left and right. BERT was trained in large amount of text using two tasks first guessing missing words and predicting if one sentence follows another. It convert sentences into tokens, adds word position info and works in many languages and sizes making it super useful for real world language applications
LLaMA:
LLaMA is a powerful language model created by Meta and what makes it special is that it is opens ource. That means anyone can see how it works and even use or improve it for their own projects. Unlike other big AI models that are locked behind paid services LLaMA is free and flexible. Developers can change it to fit their needs, which saves time and money. Since it first came out in 2023 LLaMA has gone through several updates. The latest version LLaMA 3.1. It can understand many languages, handle longer pieces of text and even comes with built-in safety tools to prevent misuse. It is great for things such as writing content, building chatbots, creating training data and testing other AI tools.
Google Gemini:
Google Gemini is a new AI model created by Google. It is more than just a chatbot .it can understand and work with text, pictures, audio, video and even code. This makes it useful for many different tasks like solve queries, explaining things or producing content.
Gemini comes in three versions: Nano, Pro, and Ultra. Each version is made for different devices small, regular, or very powerful ones. Google showed off a demo of Gemini that looked amazing, but later admitted it wasn’t done in real-time. This upset some people, even though the demo still showed what the model can do. Gemini Ultra the more powerful version is set to come out in 2024. Gemini is a big step forward but it still has a lot to prove.
DeepSeek:
DeepSeek V3 is a high performing AI coding assistant tested across tasks like code cleanup, API development and architectural planning. It supports languages like Python and works well in cloud environments like AWS handling frameworks such as Vue.js and PostgreSQL. The model can refactor large prototype codebases efficiently generate new APIs with proper authentication and suggest improvements to data models. DeepSeek V3 is open source and can be deployed locally with the right hardware. However like any cloud-based AI users should avoid inputting sensitive or proprietary data to maintain security.
Google PaLM 2:
Google PaLM 2 is a free and powerful AI model developed by Google. It works like ChatGPT (from OpenAI) but can be used without paying. You just need to get a free API key from Google’s MakerSuite platform. With PaLM 2. you can build many AI tools like apps that summarize text, translate languages, write code or answer questions based on documents.
One great thing about PaLM 2 is that it also gives you an embedding model which means it can turn text into numbers (vectors) for smarter search and question-answering tasks without needing extra tools.
You can also use LangChain a Python library to connect PaLM 2 with other tools like PDF readers and vector databases.Google PaLM 2 is a great choice for anyone who wants to create useful AI projects without spending money.
GPT:
GPT (Generative Pre-trained Transformer) is a smart computer program made by Open AI. It is a type of large language model (LLM) that can read, understand and write text like a human.
GPT works in two steps. First is pre-training where the model reads a huge amount of text like books, websites and articles. It learns how words are used, how sentences are formed and how to understand meaning from context.
The second step is fine tuning where the model is trained to give better, safer and more helpful answers by using real feedback from people.
GPT answers your questions by predicting the next word and one word at a time.You can use GPT to write emails, create stories, answer questions, summarize information, translate languages and even write code. Some popular versions are GPT-3, GPT-3.5, GPT-4 and GPT-4o (which can also understand images and sound).
Claude 3.5 Sonnet:
Claude 3.5 Sonnet is a strong AI tool that helps you do many creative and useful things quickly and easily. It is designed to assist with tasks like reading data, making graphs, creating websites, building simple games and much more.
For Example you can upload a CSV file (a kind of spreadsheet) and Claude can read the data understand it and show it as colorful, interactive charts. You can also upload a PDF file and it will extract out important information and show it in a neat dashboard with graphs and summaries.
Another great feature is that Claude can help you build a webpage just by using a screenshot. Claude can also make interactive presentations, animate pictures and even build small games using JavaScript. Overall Claude 3.5 Sonnet is a very smart and helpful tool that saves time and increases creativity great for students, teachers, developers and anybody else who wants to do more with less effort.
