Machine Learning

Enhancing Trust in Large Language Models: Fine-Tuning for Calibrated Uncertainties in High-Stakes Applications

Large language models (LLMs) face a significant challenge in accurately representing uncertainty over the correctness of their output. This issue is critical for decision-making...

Scaling AI Models: Combating Collapse with Reinforced Synthetic Data

As AI-generated data increasingly supplements or even replaces human-annotated data, concerns have arisen about the degradation in model performance when models are iteratively trained...

A New Google Study Presents Personal Health Large Language Model (Ph-Llm): A Version Of Gemini Fine-Tuned For Text Understanding Numerical Time-Series Personal Health Data

A wide variety of areas have demonstrated excellent performance for large language models (LLMs), which are flexible tools for language generation. The potential of...

This AI Paper from China Proposes a Novel dReLU-based Sparsification Method that Increases Model Sparsity to 90% while Maintaining Performance, Achieving a 2-5× Speedup...

Large Language Models (LLMs) have made substantial progress in the field of Natural Language Processing (NLP). By scaling up the number of model parameters,...

HUSKY: A Unified, Open-Source Language Agent for Complex Multi-Step Reasoning Across Domains

Recent advancements in LLMs have paved the way for developing language agents capable of handling complex, multi-step tasks using external tools for precise execution....

Yandex Introduces YaFSDP: An Open-Source AI Tool that Promises to Revolutionize LLM Training by Cutting GPU Usage by 20%

Developing large language models requires substantial investments in time and GPU resources, translating directly into high costs. The larger the model, the more pronounced...

Top Artificial Intelligence AI Courses from Stanford

Stanford University is renowned for its advancements in artificial intelligence, which have contributed significantly to cutting-edge research and innovations in the field. Its AI...

Boosting Classification Accuracy: Integrating Transfer Learning and Data Augmentation for Enhanced Machine Learning Performance

Transfer learning is particularly beneficial when there is a distribution shift between the source and target datasets and a scarcity of labeled samples in...

Gretel AI Releases a New Multilingual Synthetic Financial Dataset on HuggingFace 🤗 for AI Developers Tackling Personally Identifiable Information PII Detection

Detecting personally identifiable information PII in documents involves navigating various regulations, such as the EU’s General Data Protection Regulation (GDPR) and various U.S. financial...

A Comprehensive Overview of Data Engineering Pipeline Tools

The paper “A Survey of Pipeline Tools for Data Engineering” thoroughly examines various pipeline tools and frameworks used in data engineering. Let’s look into...

ShiftAddLLM: Accelerating Pretrained LLMs through Post-Training Shift-and-Add Reparameterization: Creating Efficient Multiplication-Free Models

Deploying large language models (LLMs) on resource-constrained devices presents significant challenges due to their extensive parameters and reliance on dense multiplication operations. This results...

Large Generative Graph Models (LGGMs): A New Class of Graph Generative Model Trained on a Large Corpus of Graphs

Large Generative Models (LGMs) like GPT, Stable Diffusion, Sora, and Suno have recently made remarkable strides in creating creative and meaningful content, greatly boosting...

Galileo Introduces Luna: An Evaluation Foundation Model to Catch Language Model Hallucinations with High...

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The Galileo Luna represents a significant advancement in language model evaluation. It is specifically designed to address the prevalent issue of hallucinations in large...

Yandex Introduces YaFSDP: An Open-Source AI Tool that Promises to Revolutionize LLM Training by...

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Developing large language models requires substantial investments in time and GPU resources, translating directly into high costs. The larger the model, the more pronounced...

Gretel AI Releases a New Multilingual Synthetic Financial Dataset on HuggingFace 🤗 for AI...

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Detecting personally identifiable information PII in documents involves navigating various regulations, such as the EU’s General Data Protection Regulation (GDPR) and various U.S. financial...

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

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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...

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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...

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