Artificial Intelligence
Researchers from Nanyang Technological University and Salesforce Research have introduced personalized distillation for code generation tasks. The method involves a student model attempting a task and receiving adaptive refinement from a teacher model, outperforming standard distillation methods with only one-third of the data. Personalized distillation improves the performance of open-source pretrained models in code generation…
NLP, or Natural Language Processing, is a field of AI focused on human-computer interaction through language. Recent research has explored improving few-shot learning (FSL) methods in NLP to overcome data limitations. A new data augmentation method called “AugGPT” is proposed, which utilizes ChatGPT to generate more samples for text classification tasks. The method involves fine-tuning…
SecureLoop is an advanced design space exploration tool developed by researchers at MIT to address the security and performance requirements of deep neural network accelerators. By considering various elements such as computation, memory access, and cryptographic operations, SecureLoop optimizes authentication block assignments using modular arithmetic techniques. Comparative evaluations demonstrate its superior performance, boasting speed enhancements…
LLVC (Low-latency, Low-resource Voice Conversion) is a real-time voice conversion model introduced by Koe AI. It operates efficiently on consumer CPUs, achieving sub-20ms latency at a 16kHz bitrate. LLVC utilizes a generative adversarial structure and knowledge distillation for efficiency and low resource consumption. It sets a benchmark among open-source voice conversion models in terms of…
The Skywork-13B family of large language models (LLMs) addresses the need for transparent and commercially available LLMs. Researchers at Kunlun Technology developed Skywork-13B-Base and Skywork-13BChat, providing detailed information about the training process and data composition. They also released intermediate checkpoints and used a two-stage training approach for optimization. Skywork-13B outperforms similar models and achieves low…
Researchers at Johns Hopkins Medicine have developed a machine learning model that accurately calculates the extent of tumor death in bone cancer patients. The model, trained on annotated pathology images, achieved 85% accuracy, which rose to 99% after removing an outlier. The innovative method reduces the workload for pathologists and has the potential to revolutionize…
A new report by Tech Against Terrorism highlights that violent extremists are increasingly using generative AI tools to create content, including images linked to groups like Hezbollah and Hamas. This strategic use of AI aims to influence narratives, particularly relating to sensitive topics like the Israel-Hamas war. The report also raises concerns about the implications…
The OECD has updated its definition of AI, which is expected to be included in the European Union’s AI Act. The new definition recognizes AI systems that can have emergent goals beyond their original objectives and expands the range of outputs AI can produce. It also considers the changes AI systems can undergo after deployment.…
Amazon SageMaker Canvas is a no-code environment that allows users to easily utilize machine learning (ML) models for various data types. It integrates with Amazon Comprehend for natural language processing tasks like sentiment analysis and entity recognition. It also integrates with Amazon Rekognition for image analysis, and Amazon Textract for document analysis. The ready-to-use solutions…
The text discusses the challenges of evaluating language models and proposes using language models to evaluate other language models. It introduces several metrics and evaluators that rely on language models, including G-Eval, FactScore, and RAGAS. These metrics aim to assess factors such as coherence, factual precision, faithfulness, answer relevance, and context relevance. While there are…
The Vision Transformer (ViT) model is a groundbreaking approach to image recognition that transforms images into sequences of patches and applies Transformer encoders to extract insights. It surpasses traditional CNN models by leveraging self-attention mechanisms and sequence-based processing, offering superior performance and computational efficiency. ViT presents new possibilities for complex visual tasks, making it a…
A recent study evaluated the performance of GPT-4V, a multimodal language model, in handling complex queries that require both text and visual inputs. While GPT-4V has potential in enhancing natural language processing and computer vision applications, it is not suitable for practical medical diagnostics due to unreliable and suboptimal responses. The study highlights the need…
Researchers at Stanford University have introduced RT-Sketch, a goal-conditioned manipulation policy that uses hand-drawn sketches as a more precise and abstract alternative to natural language and goal images in visual imitation learning. RT-Sketch demonstrates robust performance in various manipulation tasks, outperforming language-based agents in scenarios with ambiguous goals or visual distractions. The study highlights the…
This text provides smart tips for efficient data labeling using the Clarifai Platform.
During the AI Safety Summit in the UK, US VP Kamala Harris announced that 30 countries have joined the US in endorsing its proposed guidelines for the military use of AI. The “Political Declaration on Responsible Military Use of Artificial Intelligence and Autonomy” was posted on the US Department of State website, with additional details…
The winners of the AI DevWorld Hackathon for building the most interesting Clarifai projects have been announced.
Researchers from China have introduced a new framework called TiV-NeRF for simultaneous localization and mapping (SLAM) in dynamic environments. By leveraging neural implicit representations and incorporating an overlap-based keyframe selection strategy, this approach improves the reconstruction of moving objects, addressing the limitations of traditional SLAM methods. While promising, further evaluation on real-world sequences is necessary…
The researchers from UCSD conducted a Turing Test using GPT-4. The best performing prompt from GPT-4 was successful in 41% of the games, outperforming ELIZA, GPT-3.5, and random chance. The test revealed that participants judged primarily on language style and social-emotional qualities. The Turing Test remains useful for studying spontaneous communication and deceit. However, the…
Bill Gates believes that artificial intelligence (AI) will revolutionize computing and reshape the software industry. He envisions AI-driven agents that understand and respond to natural language and can perform tasks across multiple applications. These agents will learn from users’ preferences and behavior patterns, acting as personal assistants for tasks ranging from travel planning to healthcare…
The latest wave of generative AI, from ChatGPT to GPT4 to DALL-E 2/3 to Midjourney, has attracted global attention. These models exhibit superhuman capabilities but also make fundamental comprehension mistakes. Researchers propose the Generative AI Paradox hypothesis, suggesting that generative models can be more creative than humans because they are trained to produce expert-like outputs…