Large language model
The text outlines the advancements in Large Multimodal Models (LMMs) within Generative AI, emphasizing their unique ability to process various data formats including text, images, audio, and video. It elucidates the differences between LMMs and standard Computer Vision algorithms, and highlights the models like GPT4V and Vision Transformers as examples. These models aim to create…
Artificial intelligence is revolutionizing video generation and editing, offering new avenues for creativity. Meta GenAI’s new framework, Fairy, employs instruction-guided video synthesis to create high-quality, high-speed videos. By leveraging cross-frame attention mechanisms and innovative diffusion models, Fairy substantially enhances temporal consistency and video quality, setting a new industry standard.
Large language models (LLMs) like GPT-4 have wide-ranging uses but also raise concerns about potential misuse and ethical implications. FAR AI’s study highlights the susceptibility of LLMs to unethical use, emphasizing the need for proactive security measures. The research underscores the importance of continuous vigilance to ensure the safe and ethical deployment of LLMs.
Ponymation revolutionizes 3D animal motion synthesis by learning from unstructured 2D images and videos, eliminating the need for extensive data collection. Using a transformer-based motion VAE, it generates realistic 3D animations from single 2D images, showcasing versatility and adaptability. This research opens new avenues in digital animation and biological studies, leveraging modern computational methods in…
A team of researchers from NVIDIA, Vector Institute, University of Toronto, and MIT have proposed Align Your Gaussians (AYG), enabling advanced text-to-4D synthesis using dynamic 3D Gaussian Splatting and score distillation through multiple composed diffusion models. AYG’s innovative techniques facilitate extended, realistic 4D scene generation with diverse applications in content creation and synthetic data generation.…
The New York Times sues OpenAI and Microsoft for allegedly using millions of articles to train AI chatbots, which compete with the news outlet. The lawsuit seeks billions in damages and demands the destruction of AI models using copyrighted material. This legal action raises concerns about AI’s impact on journalism and intellectual property.
PostgresML is an open-source library that integrates with PostgreSQL, streamlining machine learning operations by allowing the training and deployment of ML models directly within the database using standard SQL queries. It supports GPU-powered inference and more than 50 algorithms for tabular data training, enhancing operational efficiency and simplifying machine learning infrastructure.
InternVL, a groundbreaking model, addresses the development gap between vision models and language models, enhancing AI’s multimodal capabilities. With 6 billion parameters, it excels in various visual-linguistic tasks, outperforming existing methods in 32 benchmarks. This research contributes significantly to advancing AGI systems and has the potential to reshape the future of AI and machine learning.
Large Language Models (LLMs) have revolutionized the AI community with their versatile applications in Natural Language Processing, Natural Language Generation, and Computer Vision. Bytedance’s research introduces DiffPortrait3D, a groundbreaking conditional diffusion model capable of creating photorealistic 3D views from a single portrait, addressing the challenges of view synthesis and creating high-quality facial reconstructions. The model’s…
The text discusses popular loss functions such as MSE, Log Loss, Cross Entropy, and RMSE, highlighting their foundational principles. For more details, refer to the article on Towards Data Science.
The text explores SAC’s groundbreaking role as a data-driven social enterprise. For more information, kindly refer to the full article on Towards Data Science.
The article introduces Grouped Query Attention (GQA), a variation of multi-head attention used in large language models. It explains traditional multi-head attention, multi-query attention, and the emergence of GQA, highlighting its balance between quality and speed by grouping query heads. GQA allows for efficient pre-training and has been utilized in LLM models like LLaMA-2 and…
Researchers from MIT, Meta, and Codec Avatars Lab introduced PlatoNeRF, an innovative method for single-view 3D reconstruction using lidar and neural radiance fields. By leveraging time-of-flight data, PlatoNeRF overcomes limitations of prior methods, enabling reconstruction of both visible and occluded geometry without strict lighting conditions. It outperforms existing methods in various metrics, offering promising advancements…
Researchers from Microsoft and Georgia Tech have introduced VCoder, a method that enhances Multimodal Large Language Models’ (MLLMs) object perception abilities. By integrating additional perception modalities, VCoder significantly improves model performance on vision-language tasks, particularly in accurately counting and identifying objects within visual scenes. This innovative approach opens new avenues for refining and optimizing MLLMs’…
The New York Times has filed a lawsuit against OpenAI and Microsoft, alleging copyright infringement through their use of NYT articles to train AI models. The lawsuit asserts that AI-generated responses using NYT content deprive the company of revenue and damages its reputation. If successful, the lawsuit could impact the AI industry and journalism. (Summary:…
Learn to incorporate Llama Guard into RAG pipelines for moderating LLM inputs/outputs and combating prompt injection. Find more details on Towards Data Science.
The rise of large language models driven by artificial intelligence has reshaped natural language processing. Post-training quantization (PTQ) presents a challenge in deploying these models, with optimization choices during pre-training significantly impacting quantization performance. Cohere AI’s research delves into these intricacies, challenging the belief that quantization sensitivity is solely determined by model scale. The study’s…
Privacy in machine learning models has become a critical concern due to Membership Inference Attacks (MIA). The new Relative Membership Inference Attack (RMIA) method, developed by researchers at the National University of Singapore, demonstrates its superiority in identifying membership within machine learning models, offering practical and scalable privacy risk analysis. For more information, visit the…
The NVIDIA 2024 GTC AI conference unites industry influencers in AI and accelerated computing. The in-person event, taking place from March 18-21, 2024, at the San Jose Convention Center, will feature workshops, networking opportunities, and presentations from tech leaders. The event promises to showcase the latest NVIDIA technologies, while offering insightful discussions and hands-on workshops.…
President Biden issued an executive order tasking NIST with researching AI model safety. RAND Corporation’s influence on NIST is under scrutiny due to its advisory role in shaping the order. Concerns have been raised about NIST’s outsourcing of AI safety research, particularly related to organizations like RAND, and its potential impact on AI regulation.