Large Language Model

Reinforcement Learning (RL) has gained substantial traction over recent years, driven by its successes in complex tasks such as game playing, robotics, & autonomous systems. However, deploying RL in real-world applications necessitates addressing safety concerns, which...
In recent years, computer vision has made significant strides by leveraging advanced neural network architectures to tackle complex tasks such as image classification, object detection, and semantic segmentation. Transformative models like Transformers and Convolutional Neural Networks...

Researchers from the University of Maryland Introduce an Automatic Text Privatization Framework that Fine-Tunes a Large Language Model via Reinforcement Learning

The privacy of users engaging in online communities is a significant task. This is a key justification for why websites like Reddit let users...

FinTextQA: A Long-Form Question Answering LFQA Dataset Specifically Designed for the Financial Domain

The expansion of question-answering (QA) systems driven by artificial intelligence (AI) results from the increasing demand for financial data analysis and management. In addition...

TII Releases Falcon 2-11B: The First AI Model of the Falcon 2 Family Trained on 5.5T Tokens with a Vision Language Model

The Technology Innovation Institute (TII) in Abu Dhabi has introduced Falcon, a cutting-edge family of language models available under the Apache 2.0 license. Falcon-40B...

Meet Verba 1.0: Run State-of-the-Art RAG Locally with Ollama Integration and Open Source Models

Retrieval-augmented generation (RAG) is a cutting-edge technique in artificial intelligence that combines the strengths of retrieval-based approaches with generative models. This integration allows for...

TRANSMI: A Machine Learning Framework to Create Baseline Models Adapted for Transliterated Data from Existing Multilingual Pretrained Language Models mPLMs without Any Training

The increasing availability of digital text in diverse languages and scripts presents a significant challenge for natural language processing (NLP). Multilingual pre-trained language models...

This AI Paper from Stanford University Evaluates the Performance of Multimodal Foundation Models Scaling from Few-Shot to Many-Shot-In-Context Learning ICL

Incorporating demonstrating examples, known as in-context learning (ICL), significantly enhances large language models (LLMs) and large multimodal models (LMMs) without requiring parameter updates. Recent...

Researchers from Columbia University and Databricks Conducted a Comparative Study of LoRA and Full Finetuning in Large Language Models

Machine learning models, which can contain billions of parameters, require sophisticated methods to fine-tune their performance efficiently. Researchers aim to enhance the accuracy of...

01.AI Introduces Yi-1.5-34B Model: An Upgraded Version of Yi with a High-Quality Corpus of 500B Tokens and Fine-Tuned on 3M Diverse Fine-Tuning Samples

The recent Yi-1.5-34B model introduced by 01.AI has brought about yet another advancement in the field of Artificial Intelligence. Positioned as a major improvement...

GPT-4 vs. GPT-4o: Key Updates and Comparative Analysis

The artificial intelligence and machine learning world has witnessed rapid advancements, with OpenAI at the forefront of these innovations. One of the latest developments...

Meta AI Introduces Chameleon: A New Family of Early-Fusion Token-based Foundation Models that Set a New Bar for Multimodal Machine Learning

Although recent multimodal foundation models are extensively utilized, they tend to segregate various modalities, typically employing specific encoders or decoders for each. This approach...

SpeechVerse: A Multimodal AI Framework that Enables LLMs to Follow Natural Language Instructions for Performing Diverse Speech-Processing Tasks

Large language models (LLMs) have excelled in natural language tasks and instruction following, yet they struggle with non-textual data like images and audio. Incorporating...

AgentClinic: Simulating Clinical Environments for Assessing Language Models in Healthcare

The primary goal of AI is to create interactive systems capable of solving diverse problems, including those in medical AI aimed at improving patient...

Snowflake AI Research Team Unveils Arctic: An Open-Source Enterprise-Grade Large Language Model (LLM) with...

0
Snowflake AI Research has launched the Arctic, a cutting-edge open-source large language model (LLM) specifically designed for enterprise AI applications, setting a new standard...

Google DeepMind Releases RecurrentGemma: One of the Strongest 2B-Parameter Open Language Models Designed for...

0
Language models are the backbone of modern artificial intelligence systems, enabling machines to understand and generate human-like text. These models, which process and predict...

Finally, the Wait is Over: Meta Unveils Llama 3, Pioneering a New Era in...

0
Meta has revealed its latest large language model, the Meta Llama 3, which is a major breakthrough in the field of AI. This new model is not just...

TrueFoundry Releases Cognita: An Open-Source RAG Framework for Building Modular and Production-Ready Applications

0
The field of artificial intelligence is rapidly evolving, andย takingย a prototype to production stage can be quite challenging. However, TrueFoundry has recently introduced a new...

Meet Zamba-7B: Zyphra’s Novel AI Model That’s Small in Size and Big on Performance

0
In the race to create more efficient and powerful AI models, Zyphra has unveiled a significant breakthrough with its new Zamba-7B model. This compact,...

Recent articles

๐Ÿ ๐Ÿ Join the Fastest Growing AI Research Newsletter Read by Researchers from Google + NVIDIA + Meta + Stanford + MIT + Microsoft and many others...

X