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AutoGen: Powering Next Generation Large Language Model Applications

Unite.AI

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.

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Evaluate large language models for your machine translation tasks on AWS

AWS Machine Learning Blog

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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Key Metrics for Evaluating Large Language Models (LLMs)

Marktechpost

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.

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Multimodal Large Language Models

The MLOps Blog

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.

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Best Large Language Models & Frameworks of 2023

AssemblyAI

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?

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LayerSkip: An End-to-End AI Solution to Speed-Up Inference of Large Language Models (LLMs)

Marktechpost

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.

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Stability AI Releases Stable Code 3B: A 3 Billion Parameter Large Language Model (LLM) that Allows Accurate and Responsive Code Completion

Marktechpost

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