Large language model
Language models like GPT-4, which are part of the field of Artificial Intelligence, have gained popularity due to their remarkable capabilities in various fields. These models excel in tasks such as coding, mathematics, law, and understanding human intentions. GPT-4 can process text, images, and even display characteristics of Artificial General Intelligence (AGI). Recent research has…
UK and US cyber security agencies have developed guidelines to enhance the security of AI systems. The guidelines focus on secure design, development, deployment, and operation, aiming to prevent cybercriminals from hijacking AI and accessing sensitive data. While the guidelines are non-binding, they have the endorsement of 16 countries. However, the prevalence of zero-day vulnerabilities…
Microsoft introduces Orca 2, an advanced reasoning model for smaller language models. Unlike traditional imitation learning, Orca instructs models in different reasoning techniques to improve their reasoning and comprehension skills. Orca 2 outperforms other models in various language tasks and achieves high accuracy. The departure from imitation learning showcases a new approach to unlocking the…
L1 and L2 regularization are techniques used in machine learning to prevent overfitting. Overfitting occurs when a model is too complex and learns from both the underlying patterns and the noise in the training data, resulting in poor performance on unseen data. L1 and L2 regularization add penalty terms to the model’s loss function, discouraging…
AWS has announced updates to its AI services, including language support and summarization capabilities. Amazon Transcribe now supports over 100 languages, improving accuracy and adding features like automatic punctuation and speaker diarization. Amazon Transcribe Call Analytics offers generative AI-powered call summarization, saving time for agents and managers. Amazon Personalize introduces the Content Generator, allowing companies…
OpenAI’s recent CEO ousting has generated speculation about a supposed AI breakthrough, revealing a new powerful model called Q* capable of solving grade-school math. Experts note that while AI models struggle with math problems, solving them would be a significant development. However, this does not signify the birth of superintelligence or pose an immediate threat.…
Researchers from Salus Security have introduced an AI solution called “Lightning Cat” that uses deep learning techniques to detect vulnerabilities in smart contracts. The solution utilizes optimized deep learning models, including CodeBERT, LSTM, and CNN, to accurately identify vulnerabilities and improve semantic analysis. Experimental results show that the Optimized-CodeBERT model achieves impressive performance in vulnerability…
The United States, United Kingdom, and 16 other partners have released comprehensive guidelines for developing secure artificial intelligence systems. Led by the U.S. Cybersecurity and Infrastructure Security Agency (CISA) and the UK’s National Cyber Security Centre (NCSC), the guidelines prioritize a ‘secure by design’ approach, covering all stages of AI system development. The guidelines also…
Google’s Chatbot ‘Bard’ has introduced a groundbreaking “YouTube Extension” that allows users to extract specific details from YouTube videos by asking questions. This advancement showcases Bard’s ability to comprehend visual media, improving user engagement. Bard was found to be accurate and swift in summarizing video content, setting it apart from other chatbots in the AI…
Researchers from ByteDance have introduced PixelDance, a video generation approach that combines text and image instructions to create complex and diverse videos. The system excels in synthesizing videos with intricate settings and actions, surpassing existing models. It integrates diffusion models and Variational Autoencoders and outperforms previous models in terms of video quality. While the model…
MIT researchers have developed a method called StableRep to address the scarcity of training data for AI image classifiers. They used a strategy called “multi-positive contrastive learning” to generate synthetic images that match a given text prompt. The resulting image classifier, StableRep+, outperformed models trained on real images. While there are challenges such as computation…
Researchers from Peking University, Peng Cheng Laboratory, Peking University Shenzhen Graduate School, and Sun Yat-sen University have introduced Video-LLaVA, a Large Vision-Language Model (LVLM) approach that unifies visual representation into the language feature space. Video-LLaVA surpasses benchmarks in image question-answering and video understanding, outperforming existing models and showcasing improved multi-modal interaction learning. The model aligns…
Researchers from MIT, Harvard University, and the University of Washington have developed a new approach to reinforcement learning that leverages feedback from nonexpert users to teach AI agents specific tasks. Unlike other methods, this approach enables the agent to learn more quickly despite the noisy and potentially inaccurate feedback. The method has the potential to…
Generative AI is revolutionizing the conversational AI industry by enabling more natural and intelligent interactions. Amazon Lex has introduced new features that take advantage of these advances, such as conversational FAQs, descriptive bot building, assisted slot resolution, and training utterance generation. These features make it easier for developers to build chatbots that provide personalized customer…
In-context learning (ICL) is the capacity of a model to modify its behavior at inference time without updating its weights, allowing it to tackle new problems. Neural network architectures, such as transformers, have demonstrated this capability. However, recent research has found that ICL in transformers is influenced by certain linguistic data characteristics. Training transformers without…
Generative AI tools like ChatGPT, DALLE-2, and CodeStarter have gained popularity in 2023. OpenAI’s ChatGPT has reached 100 million monthly active users within two months of its launch, becoming the fastest-growing consumer application. McKinsey predicts that generative AI could add trillions of dollars annually to the global economy, with the banking industry expected to benefit…
Large Language Models (LLMs) have revolutionized human-machine interaction in the era of Artificial Intelligence. However, adapting these models to new datasets can be challenging due to memory requirements. To address this, researchers have introduced LQ-LoRA, a technique that combines quantization and low-rank decomposition to improve memory efficiency and fine-tuning of LLMs. The results show promising…
Researchers from ETH Zurich have conducted a study on utilizing shallow feed-forward networks to replicate attention mechanisms in the Transformer model. The study highlights the adaptability of these networks in emulating attention mechanisms and suggests their potential to simplify complex sequence-to-sequence architectures. However, replacing the cross-attention mechanism in the decoder presents challenges. The research provides…
Amazon Transcribe is a speech recognition service that now supports over 100 languages. It uses a speech foundation model that has been trained on millions of hours of audio data and delivers significant accuracy improvement. Companies like Carbyne use Amazon Transcribe to improve emergency response for non-English speakers. The service provides features like automatic punctuation,…
Amazon Personalize has announced three new launches: Content Generator, LangChain integration, and return item metadata in inference response. These launches enhance personalized customer experiences using generative AI and allow for more compelling recommendations, seamless integration with LangChain, and improved context for generative AI models. These launches aim to enhance user engagement and satisfaction by providing…