Technology

Transform Your Understanding of Attention: EPFL’s Cutting-Edge Research Unlocks the Secrets of Transformer Efficiency!

Integrating attention mechanisms into neural network architectures in machine learning has marked a significant leap forward, especially in processing textual data. At the heart...

Meet SPHINX-X: An Extensive Multimodality Large Language Model (MLLM) Series Developed Upon SPHINX

The emergence of Multimodality Large Language Models (MLLMs), such as GPT-4 and Gemini, has sparked significant interest in combining language understanding with various modalities...

Google Deepmind Raises the Bar: Gemini 1.5 Pro’s Multimodal Capabilities Set New Industry Standards!

In the rapidly evolving field of artificial intelligence, Google's research team has made groundbreaking strides to enhance AI's ability to process and understand multimodal...

Researchers from Qualcomm AI Research Introduced CodeIt: Combining Program Sampling and Hindsight Relabeling for Program Synthesis

Programming by example is one of the diverse fields of Artificial intelligence (AI) in automation processes. The goal is to generate programs to solve...

AWS AI Labs Introduce CodeSage: A Bidirectional Encoder Representation Model for Source Code

In the evolving landscape of artificial intelligence, the quest to refine the interaction between machines and programming languages is more intense than ever. This...

This AI Paper Unveils a New Method for Statistically-Guaranteed Text Generation Using Non-Exchangeable Conformal Prediction

Natural language generation (NLG) is a critical area in AI, enabling applications such as machine translation (MT), language modeling (LM), summarization, and more. Recent...

Meta AI Releases V-JEPA: An Artificial Intelligence Method for Teaching Machines to Understand and Model the Physical World by Watching Videos

Meta researchers address the challenge of advancing machine intelligence(AMI) in understanding the real world by introducing V-JEPA, a model with joint embedding predictive architecture....

Transformers Reimagined: Google DeepMind’s Approach Unleashes Potential for Longer Data Processing

In the evolving landscape of artificial intelligence, the challenge of enabling language models, specifically transformers, to effectively process and understand sequences of varying lengths...

This AI Paper from Google AI Proposes Online AI Feedback (OAIF): A Simple and Effective Way to Make DAP Methods Online via AI Feedback

Aligning large language models (LLMs) with human expectations and values is crucial for maximizing societal advantages. Reinforcement learning from human feedback (RLHF) was the...

This AI Paper from UC Berkeley Explores the Potential of Feedback Loops in Language Models

Artificial intelligence (AI) is witnessing an era where language models, specifically large language models (LLMs), are not just computational entities but active participants in...

Google AI Introduces ScreenAI: A Vision-Language Model for User interfaces (UI) and Infographics Understanding

The capacity of infographics to strategically arrange and use visual signals to clarify complicated concepts has made them essential for efficient communication. Infographics include...

What is Fine Tuning and Best Methods for Large Language Model (LLM) Fine-Tuning

Large Language Models (LLMs) such as GPT, PaLM, and LLaMa have made major advancements in the field of Artificial Intelligence (AI) and Natural Language...

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