Large language model
Researchers at UCLA have developed a method called Rephrase and Respond (RaR) to improve the performance of Language Model LLMs. RaR allows LLMs to rephrase and expand human questions in a single prompt, demonstrating effectiveness across different tasks. The approach enhances translation and exhibits significant performance improvements compared to other methods. It also complements the…
The World’s Smallest Data Pipeline Framework is a simple and fast foundation for data pipelines with advanced functionality. It outlines a process for cleaning and transforming data, and introduces the concept of a pipeline to streamline the process. The framework also includes features like filtering, parallel processing, and visualization.
Whisper is an Automatic Speech Recognition (ASR) model trained on 680,000 hours of supervised data from the web. However, it has low-performance on low-resource languages like Marathi and Dravidian languages. Fine-tuning Whisper is challenging due to high computational and storage requirements. LoRA is a unique approach to fine-tuning that reduces trainable parameters and GPU memory…
This article discusses the emergence of large language models in the field of natural language processing (NLP) and the innovative ways in which they are being used. It highlights various applications such as text-to-image and text-to-speech, as well as techniques like prompt engineering and knowledge graph augmentation. The article also mentions other recent standout articles…
Artificial intelligence (AI) is revolutionizing various industries and daily life. Learning about AI is essential for professionals in many fields, and luckily, there are free resources available online. This article presents the top five free AI courses in 2023, covering topics such as AI in software testing, generative AI, machine learning, AI chatbots, and machine…
Microsoft has introduced two new chips, the Azure Maia AI Accelerator and the Azure Cobalt CPU, as part of its efforts to enhance AI infrastructure. The chips have been carefully designed to cater to the growing demand for AI applications. These chips will initially be deployed in Microsoft’s datacenters and will power internal services like…
Synthetic data and generative AI, specifically Generative Adversarial Networks (GANs), can be used to address government corruption and systemic bias. AI systems trained on synthetic data can identify patterns of corruption and detect suspicious behavior. GANs generate synthetic data that is realistic and can be used to train AI models. Although there are ethical and…
Google DeepMind researchers have proposed a new definition and taxonomy for artificial general intelligence (AGI). The team outlines five ascending levels of AGI, ranging from emerging to superhuman. They emphasize that AGI must be both general-purpose and high-achieving, capable of learning, assessing performance, and requesting assistance. The researchers also stress the importance of measuring AGI…
Discover cutting-edge Dimensionality Reduction techniques to enhance the performance of your Machine Learning models. Find more detailed information on this topic in the Towards Data Science article.
This article discusses how marathon runners’ training patterns can be visualized using Strava, Python, and Matplotlib.
E-values are proposed as a superior alternative to p-values. This article explores their advantages and benefits in statistical analysis.
Introducing our latest music generation model and two innovative AI experiments, expanding creative possibilities.
Researchers from MIT, the MIT-IBM Watson AI Lab, and elsewhere have developed PockEngine, an on-device training method that enables deep-learning models to efficiently adapt to new sensor data. The technique significantly speeds up on-device training, performing up to 15 times faster, without sacrificing accuracy. PockEngine also reduces the amount of memory required for fine-tuning. The…
Microsoft has expanded its Azure AI Model Catalog with various foundation and generative AI models. The addition of 40 new models, including text-to-image and image embedding capabilities, marks a major advancement in the field of artificial intelligence. Microsoft has also introduced the concept of Models as a Service (MaaS), simplifying AI model integration for developers.…
MM-VID is an AI system that integrates specialized tools with GPT-4V for video understanding. It processes the video by segmenting it into clips, generating detailed descriptions for each clip, and producing a coherent script for the entire video. This system aims to analyze real-world videos and overcome the limitations of existing models. For more information,…
Humane, a company founded by former Apple designers, has introduced the AI Pin, a wearable device that integrates advanced artificial intelligence. The device, priced at $699, has a square shape and attaches to clothing, doubling as a hidden battery pack. It uses smart sensors, a Snapdragon processor, and 4GB RAM. The AI Pin is capable…
Shutterstock has introduced the TRUST framework to address ethical concerns in the stock media industry. The framework includes principles such as using correctly licensed data for training AI systems, fair compensation for creators, diversity and inclusion, customer safeguards, and transparency in labeling AI-generated content. Shutterstock’s commitment to responsible AI adoption sets an example for other…
Oracle has announced the general availability of MySQL 8.2, featuring Read/Write Splitting as a standout feature. This functionality allows applications to direct write traffic to read-write instances and read traffic to read-only instances, optimizing performance and scalability. Some concerns about consistency levels have been raised, but overall, this feature enhances database performance and scalability without…
Researchers from Shanghai Artificial Intelligence Laboratory, GigaAI, East China Normal University, and The Chinese University of Hong Kong evaluated GPT-4V(ision), a Visual Language Model, in autonomous driving scenarios. GPT-4V demonstrates superior performance in scene understanding and causal reasoning, but challenges remain in direction discernment and traffic light recognition. Further research and development are needed. Source:…
Large Language Models (LLMs) have shown impressive capabilities in language understanding and reasoning. To enhance their proficiency, researchers have employed the chain of thought (CoT) technique but it delays the generation of the desired answer. In this paper, the authors propose an implicit CoT reasoning approach that allows the model to produce the final answer…