Large language model
Researchers from S-Lab NTU and Shanghai AI Lab developed EdgeSAM, an optimized variant of SAM for real-time object segmentation on edge devices. It outperforms Mobile-SAM by 14x and achieves a remarkable 40x speed increase over the original SAM. It significantly improves mIoUs on COCO and LVIS datasets with prompt-in-the-loop knowledge distillation and a lightweight Region…
This week in AI news: – Oxford University permits AI use in Economics and Management courses, sparking debate. – Google’s deceptive Gemini marketing video raises questions about authenticity. – LimeWire returns with an AI-generated music platform, and Meta AI’s image generator makes an impact. – ChatGPT and other AI technologies face performance and ethical challenges.…
Researchers from Carnegie Mellon University and Max Planck Institute have developed WHAM (World-grounded Humans with Accurate Motion), a pioneering method for precise 3D human motion reconstruction. WHAM addresses challenges such as foot sliding in real-world settings and effectively combines 3D human motion and video context. It achieves accurate global trajectory estimation and excels in efficient…
NYU and Google AI researchers demonstrate LLMs’ deductive reasoning using in-context learning and chain-of-thought prompting. They explore LLMs’ ability to generalize to more intricate proofs and identify that in-context examples with unfamiliar deduction principles promote better performance. The findings hint at the need for further understanding of LLMs’ reasoning capabilities. For more details, refer to…
The article discusses the process of fine-tuning a base LLama2 LLM to output SQL code using Parameter Efficient Fine-Tuning techniques. It covers the hardware requirements, optimization methods, and the actual fine-tuning process. The workflow for fine-tuning and running inference is explained in detail, emphasizing the need for domain-specific knowledge and resources. The importance of PEFT…
The text discusses the significance of unstructured data in the context of data processing. It highlights the impacts on compute and revenue for cloud vendors, particularly Snowflake and Databricks. The focus is on the “Unstructured Data Funnel” and the importance of processing data at the object-storage level. The article brings to light the complexities and…
LangChain is an AI framework for developing applications using large language models. It offers context-awareness and reasoning capabilities, supports Python and TypeScript/JavaScript, and streamlines the application lifecycle. It can interact with SQL databases using natural language, making conversations with language models smooth and effective. LangChain is easy to use, flexible, scalable, free, and has a…
Generative foundational models in AI generate new data resembling specific input data, applied in natural language processing, music, and more. Stanford and Salesforce researchers developed UniControl, a diffusion model for advanced visual generation, handling diverse visual conditions and language prompts. While impressive, the model inherits limitations from biased training data and requires improvement. Read about…
The text discusses the progress in diffusion models (DMs) in the context of Artificial Intelligence and Machine Learning. It highlights the lack of understanding of the latent space and its impact on outputs, while also detailing recent research that explores the X-space and its representation, H. The research presents the possibility of image modification without…
Alibaba Group’s Qwen-Audio series introduces large-scale audio-language models with universal understanding across diverse audio types and tasks. Overcoming prior limitations, Qwen-Audio excels in various benchmarks without fine-tuning, while Qwen-Audio-Chat extends capabilities for versatile human interaction. Future exploration aims to enhance performance and refine alignment with human intent. For more details, refer to the Paper and…
The MIT Energy and Climate Hack brought together students from various fields to find rapid solutions for the global energy and climate crisis. Companies presented challenges, and teams had two days to develop solutions, with AI emerging as a valuable tool. The event highlighted the need for cooperation and diverse expertise in addressing climate change.…
Amazon SageMaker Studio offers fully managed integrated development environments (IDEs) like JupyterLab, Code Editor, and RStudio for machine learning development. The introduction of JupyterLab Spaces allows flexible customization of compute, storage, and runtime resources to improve ML workflow efficiency, with enhanced control over storage and capabilities for collaborative work. SageMaker Studio also integrates generative AI-powered…
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Russian President Putin faced an AI-generated deep fake version of himself during a public Q&A. The incident sparked amusement as the AI posed a question on twins and the dangers of AI. Deep fake technology targets political leaders and celebrities, perpetuating fraud and fueling conflict. Putin also addressed rumors of his health and the use…
AI has become a powerful tool for conservation, aiding in the monitoring of rare species, preventing pollution, and tracking animal movement. Whale conservationist Ted Cheeseman’s company, HappyWhale, uses AI to enhance whale watching by identifying whales from photos. This approach reflects a broader trend of using AI to empower public participation in wildlife identification and…
The article discusses the implementation of a cross-platform text summarization tool in Rust using techniques such as TFIDF and parallel computing with Rayon. It highlights the Rust implementation of text summarization, its usage in C/C++, Android, and Python platforms, and discusses future improvements and benchmarking. For the full details, please refer to the original article…
OpenAI’s superalignment team published results in a low-key research paper, presenting a technique for a less powerful language model to supervise a more powerful one, addressing how humans might supervise superhuman machines. However, their approach’s effectiveness remains unclear, with mixed results indicating the need for further work. OpenAI also announced a $10 million funding initiative…
A $10M grant initiative has been announced to fund technical research focused on aligning and ensuring the safety of superhuman AI systems. The research will cover areas such as weak-to-strong generalization, interpretability, scalable oversight, and more.
Proposing a new research direction for superalignment, the text explores using deep learning’s generalization properties to regulate strong models with weak supervisors. Initial results are promising.
BannerGen, an open-source library developed by Salesforce, revolutionizes graphic design with generative AI. It offers three methods for creating banners and integrates VAEGAN and DETR architectures to improve design quality. Providing licensed fonts and templates, BannerGen enables users to create stunning visuals from uploaded images, producing HTML and PNG files for easy use across media.