Skip to content Skip to sidebar Skip to footer

Language Model

Alibaba-Qwen presents Qwen1.5 32B, a fresh multilingual dense Language Model that stands out with a context of 32k and surpasses Mixtral on the Open Language Model Leaderboard.

Alibaba's AI research division continues to establish a strong presence in the field of large language models (LLMs) with its new Qwen1.5-32B model, which features 32 billion parameters and an impressive 32k token context size. This latest addition to the Qwen series epitomizes Alibaba's commitment to high-performance computing balanced with resource efficiency. The Qwen1.5-32B has superseded…

Read More

Poro 34B: An AI Model with a 34B Parameter, Developed for 1 Trillion Tokens Including English, Finnish, and Programming languages, with a Special Focus on 8 Billion Tokens of Finnish-English Translation Pairs.

The increasingly sophisticated language models of today need vast quantities of text data for pretraining, often in the order of trillions of words. This poses a considerable problem for smaller languages that lack the necessary resources. To tackle this issue, researchers from the TurkuNLP Group, the University of Turku, Silo AI, the University of Helsinki,…

Read More

The ‘Self-Critique’ pipeline, an innovative approach to mathematical problem solving in broad language models, has been unveiled by scientists at Zhipu AI and Tsinghua University.

Large language models (LLMs) have received much acclaim for their ability to understand and process human language. However, these models tend to struggle with mathematical reasoning, a skill that requires a combination of logic and numeric understanding. This shortcoming has sparked interest in researching and developing methods to improve LLMs' mathematical abilities without downgrading their…

Read More

Myshell AI and scholars from MIT have suggested JetMoE-8B: an ultra-efficient Language Model (LLM) capable of attaining LLaMA2-Level training at just $0.1 million.

Artificial Intelligence (AI) is a rapidly advancing field that often requires hefty investments, predominantly accessible to tech giants like OpenAI and Meta. However, an exciting breakthrough presents an exception to this norm—turning the tide in favor of democratizing AI development. Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and Myshell AI have demonstrated…

Read More

Cohere AI has unveiled C4AI Command R+: An open weight research deployment of a model boasting 104 billion parameters. This sophisticated model comes equipped with advanced features, including tools such as RAG.

As artificial intelligence (AI) continues to expand, new developments are continually ushering in advances in the field. One of these latest innovations is the C4AI Command R+ from Cohere. This model boasts a staggering 104 billion parameters, and stands alongside prominent models like the GPT-4 Turbo and Claude-3 in various computational tasks. Rooting itself firmly…

Read More

Cohere AI has launched C4AI Command R+, an open weights scientific distribution of a model with 104 billion parameters. It is equipped with sophisticated features such as the RAG tool, among others.

Cohere, the company pioneering advancements in artificial intelligence (AI), has unveiled its latest innovation - the C4AI Command R+. The model is cutting-edge, with an impressive 104 billion parameters, making it one of the most advanced in the field compared to its predecessors and contemporaries such as Claude-3, Mistral-large, and even GPT-4 Turbo. The primary…

Read More

GPT-Based Digital Twin Technique: A Comprehensive Language Model for Establishing Digital Twins in Clinical Trials

Clinical trials are crucial for medical advancements as they evaluate the safety and efficacy of new treatments. However, they often face challenges including high costs, lengthy durations, and the need for large numbers of participants. A significant challenge in optimizing clinical trials is accurately predicting outcomes. Traditional methods of research, dependent on electronic health records…

Read More

Gretel AI Unveils the Biggest Open Source Text-to-SQL Dataset to Speed Up AI Model Training

In an era where data accuracy heavily influences the effectiveness of Artificial Intelligence (AI) systems, Gretel has launched the largest and most diverse open-source Text-to-SQL dataset. This ground-breaking initiative will hasten the training of AI models and boost the quality of data-driven insights across various sectors. The synthetic_text_to_sql dataset, available on Hugging Face, contains 105,851 records,…

Read More

UniLLMRec: A Comprehensive Framework Based on LLM for Performing Multi-Step Recommendation Processes Through a Series of Suggestions

Researchers from the City University of Hong Kong and Huawei Noah's Ark Lab have developed an innovative recommender system that takes advantage of Large Language Models (LLMs) like ChatGPT and Claude. The model, dubbed UniLLMRec, leverages the inherent zero-shot learning capabilities of LLMs, eliminating the need for traditional training and fine-tuning. Consequently, it offers an…

Read More

Apple Scientists Introduce ReALM: An AI that can Perceive and Comprehend Screen Content.

Within the field of Natural Language Processing (NLP), resolving references is a critical challenge. It involves identifying the context of specific words or phrases, pivotal to both understanding and successfully managing diverse forms of context. These can range from previous dialogue turns in conversation to non-conversational elements such as user screen entities or background processes. Existing…

Read More