Apple's MM1 and Large Language Multimodal Models | by Matthew Gunton | April 2024
For Image Encoder, the image resolution size and the data set on which the models were trained varied between the ...
Tag: language
Building a RAG chain using LangChain Expression Language (LCEL) | by Roshan Santhosh | April 2024
QA RAG with Self-Assessment IIFor this variation, we made a change to the evaluation procedure. In addition to the question-answer ...
Apple researchers propose Ferret-UI: a new multimodal large language model (MLLM) designed to improve understanding of mobile UI screens
Mobile apps are an integral part of daily life and serve countless purposes, from entertainment to productivity. However, the complexity ...
Use everyday language to search and retrieve data with Mixtral 8x7B on Amazon SageMaker JumpStart
With the widespread adoption of generative artificial intelligence (ai) solutions, organizations are trying to use these technologies to make their ...
CT-LLM: a small 2B LLM illustrating a fundamental shift towards prioritizing the Chinese language in LLM development
For too long, the world of natural language processing has been dominated by models that primarily serve the English language. ...
CodeEditorBench: A machine learning system for evaluating the effectiveness of large language models (LLMs) in code editing activities
Coding-related work has led to the rapid advancement of large language models (LLMs), with a focus on code editing. LLMs ...
VoiceCraft: A transformer-based Neural Codec Language Model (NCLM) that achieves cutting-edge performance in speech editing and zero-shot TTS
When textless natural language processing (NLP) initially emerged, the main concept involved training a language model on sequences of discrete ...
'Think-and-Execute': A machine learning framework that encapsulates the common logical structure of a job using pseudocode for efficient reasoning in large language models (LLMs)
In large language models (LLM), reasoning involves dissecting the logical structure of a problem and converting it into a sequence ...
NAVER Cloud Researchers Introduce HyperCLOVA X: A Multilingual Language Model Adapted to Korean Language and Culture
The evolution of large language models (LLM) marks a transition towards systems capable of understanding and expressing languages beyond dominant ...
Stanford University Researchers Introduce Octopus v2: Powering On-Device Language Models for Superagent Functionality
A critical challenge in artificial intelligence, specifically as it relates to large language models (LLMs), is balancing model performance and ...
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