Jun 17, 2023 · However, the main difference is that encoders are designed to learn embeddings that can be used for various predictive modeling tasks such as classification. In contrast, decoders are designed to generate new texts, for example, answering user queries.

Sep 22, 2024 · Use Cases: Encoder-only models are well-suited for predictive modeling tasks, leveraging embeddings for classification. On the other hand, decoder-only models excel in generative tasks where the output heavily relies on the …

Feb 3, 2024 · Causal Decoder (CD) vs Encoder-Decoder (ED) The performance of decoder-only, also referred to as causal decoder, against encoder-decoder models has long been studied.

May 4, 2024 · Some others, like T5, have both an encoder and a decoder, with some small modifications on the architecture and training strategy. Why some LLMs took only a part of the original transformer...

Mar 22, 2024 · What are Encoders in LLMs? Encoders in the context of LLMs are algorithmic structures designed to process and transform input text into a format that the model can understand and manipulate.

Mar 1, 2025 · We evaluated open-source LLM models such as Llama 2-7B and Mistral-7B Instruct, along with an encoder model such as DeBERTa v3 Large, on inference by adding context in addition to fine-tuning with and without context.

Jul 21, 2024 · Language models are a crucial component in natural language processing (NLP). The architecture of these models can be broadly categorized into three types: encoder-only, decoder-only, and encoder-decoder architectures. Each of these architectures has distinct characteristics and applications.

Feb 3, 2023 · Having an encoder-decoder architecture enables language models like ChatGPT to process input sequences and generate outputs based on that input. The encoder processes the input sequence and generates a set of hidden states, which are then used by the decoder to generate the output sequence.

There are broadly two categories of LLMs: Encoder-Decoder architecture (typified by BERT) and Decoder only architecture (typified by GPT-2 series). There are some innate differences between the two that affect the type of application each is well suited for.

Apr 27, 2024 · Decoder-based LLMs can be broadly classified into three main types: encoder-decoder, causal decoder, and prefix decoder. Each architecture type exhibits distinct attention patterns. Encoder-Decoder Architecture