Microsoft AI launches Phi 3.5 mini, MoE and Vision with 128K context, multilingual and MIT license
Microsoft has recently expanded its ai capabilities with the introduction of three sophisticated models: Phi 3.5 Mini Instruct, Phi 3.5 ...
Tag: context
Learning in Context with Linguistics Awareness and Data Augmentation (LaiDA): An AI Framework for Improved Identification of Metaphor Components in Natural Language Processing Tasks
Metaphor component identification (MCI) is an essential aspect of natural language processing (NLP) that involves identifying and interpreting metaphorical elements ...
Evaluating extensive context language models | by Yennie Jun | Jul, 2024
There is a race towards language models with wider context windows. But how good are they and how can we ...
COCOM: An efficient context compression method that revolutionizes context integrations for efficient response generation in RAG
One of the main challenges of Retrieval Augmented Generation (RAG) models is the efficient management of extensive contextual inputs. While ...
NVIDIA Introduces RankRAG: A New RAG Framework That Optimizes Single LLM Instructions for the Dual Purposes of Top-k Context Classification and RAG Response Generation
Retrieval-augmented generation (RAG) has emerged as a crucial technique to enhance large language models (LLMs) to handle specialized knowledge, provide ...
InternLM2.5-7B-Chat: Open source language models with unmatched reasoning, extensive context handling, and improved tool usage
InternLM has presented its latest advance in large open language models, the InterLM2.5-7B-ChatGGUF is available in GGUF format. This model ...
Salesforce AI Research Introduces SummHay: A Robust AI Benchmark for Evaluating Extensive Context Summarization in RAG and LLM Systems
Natural language processing (NLP) in artificial intelligence focuses on enabling machines to understand and generate human language. This field encompasses ...
A concurrent programming framework for quantitative analysis of efficiency issues when serving multiple long context requests in a GPU-limited high-bandwidth memory (HBM) regime
Large language models (LLMs) have gained significant capabilities, reaching GPT-4 level performance. However, deploying these models for applications requiring extensive ...
New UCLA machine learning research uncovers unexpected irregularities and lack of fluidity in decision boundaries in the context of LLMs
Recent language models such as GPT-3+ have shown notable performance improvements by simply predicting the next word in a sequence, ...
Cephalo: An open source multimodal vision large language model (V-LLM) series specifically in the context of bioinspired design
Materials science focuses on studying and developing materials with specific properties and applications. Researchers in this field aim to understand ...
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