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  2. A Text Generation model, also known as a causal language model, can be trained on code from scratch to help the programmers in their repetitive coding tasks. One of the most popular open-source models for code generation is StarCoder, which can generate code in 80+ languages. You can try it here.

  3. Text generation works by utilizing algorithms and language models to process input data and generate output text. It involves training AI models on large datasets of text to learn patterns, grammar, and contextual information.

  4. Feb 5, 2023 · What is Text Generation. Text generation in deep learning refers to the process of automatically generating natural language text using artificial neural networks.

  5. Jan 17, 2024 · Text generation architecture is the foundation of many language-related AI tools we use daily, such as chatbots and auto-complete features. Understanding how this architecture works can help us understand the power and potential of language AI and its limitations and challenges.

  6. Jul 17, 2023 · Models that complete incomplete text are called Causal Language Models, and famous examples are GPT-3 by OpenAI and Llama by Meta AI. One concept you need to know before we move on is fine-tuning.

  7. Mar 22, 2022 · Source: develop-paper. Hey Folks! In this article, we are going to talk about text generation using LSTM with end-to-end examples. we will also look at concepts related to LSTM as a quick revision. In the next generation, we predict the next character of a given word of a sequence.

  8. Jan 11, 2023 · NLP can be divided into two overlapping subfields: natural language understanding (NLU), which focuses on semantic analysis or determining the intended meaning of text, and natural language generation (NLG), which focuses on text generation by a machine.

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