Unite.AI
OCTOBER 18, 2023
Large Language Models (LLMs) are currently one of the most discussed topics in mainstream AI. These models are AI algorithms that utilize deep learning techniques and vast amounts of training data to understand, summarize, predict, and generate a wide range of content, including text, audio, images, videos, and more.
AWS Machine Learning Blog
JANUARY 7, 2025
Large language models (LLMs) have demonstrated promising capabilities in machine translation (MT) tasks. Depending on the use case, they are able to compete with neural translation models such as Amazon Translate. When the indexing is complete, select the created index from the index dropdown.
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Marktechpost
JUNE 19, 2024
Evaluating Large Language Models (LLMs) is a challenging problem in language modeling, as real-world problems are complex and variable. A recent LinkedIn post has emphasized a number of important measures that are essential to comprehend how well new models function, which are as follows.
The MLOps Blog
JANUARY 23, 2025
TL;DR Multimodal Large Language Models (MLLMs) process data from different modalities like text, audio, image, and video. Compared to text-only models, MLLMs achieve richer contextual understanding and can integrate information across modalities, unlocking new areas of application.
AssemblyAI
SEPTEMBER 18, 2023
However, among all the modern-day AI innovations, one breakthrough has the potential to make the most impact: large language models (LLMs). Large language models can be an intimidating topic to explore, especially if you don't have the right foundational understanding. What Is a Large Language Model?
Marktechpost
MAY 1, 2024
Many applications have used large language models (LLMs). They train a Llama1 7B model using the HumanEval coding dataset and feed it its initial prompt. The model defines and auto completes the function’s body when the prompt comprises a docstring and a Python function header.
Marktechpost
JANUARY 20, 2024
Stable AI has recently released a new state-of-the-art model, Stable-Code-3B , designed for code completion in various programming languages with multiple additional capabilities. The model is a follow-up on the Stable Code Alpha 3B. It is trained on 1.3 It is trained on 1.3
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