AssemblyAI Unveils Universal-1: Surpassing Whisper-3 with Groundbreaking Accuracy and Speed in Speech Recognition

Large Language Models (LLMs) are being fine-tuned to align with user preferences and instructions in generative tasks. The need for robust benchmarks to evaluate retrieval systems led researchers at KAIST to create INSTRUCTIR. This benchmark focuses…

Google Research introduced Generative Infinite-Vocabulary Transformers (GIVT), pioneering real-valued vector sequences for AI. This approach aims to address limitations in existing transformer models for image generation by using real-valued vectors instead of discrete tokens and exploring…

CMU researchers have introduced AdaTest++, an advanced auditing tool for Large Language Models (LLMs). The tool streamlines the auditing process, enhances sensemaking, and facilitates communication between auditors and LLMs. AdaTest++ includes features such as prompt templates,…

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…

With advancements in AI and machine learning, text-to-video generation has made progress. VideoDirectorGPT is a framework that leverages large language models to create multi-scene videos consistently. It uses an LLM for video planning and a video…

Practical AI Solution: Octo – An Open-Sourced Large Transformer-based Generalist Robot Policy Value Proposition Octo is a transformer-based strategy pre-trained using 800k robot demonstrations from the Open X-Embodiment dataset, providing a practical and open-source solution for…

Deep Learning Specialization The Deep Learning Specialization equips you with the skills to build and optimize neural networks using Python and TensorFlow. It covers architectures like CNNs, RNNs, LSTMs, and Transformers, allowing learners to apply these…

Generative AI is being used to automate call summarization in contact centers. With large language models (LLMs) powered by generative AI, accurate and contextually relevant summaries can be generated in a fraction of the time it…

Fine-Tuning Mistral 7B with QLoRA Using Axolotl Overview In this guide, we will learn how to fine-tune the Mistral 7B model using QLoRA with Axolotl. This approach allows us to effectively manage limited GPU resources while…

Artificial intelligence has strong potential to impact diverse fields. The MIT panel explored the implications of generative AI for art and design. The discussion focused on AI’s role in fostering ambiguity, creating tangible experiences, and managing…

There is a highlight of articles on the less technical aspects of data science work, including change management, data storytelling, preparing for technical presentations, and essential skills for data scientists. There are also additional reads on…

Reinforcement Learning (RL) Overview Reinforcement Learning is widely used in science and technology to improve processes and systems. However, it struggles with a key issue: Sample Inefficiency. This means RL often requires thousands of attempts to…

Understanding the Challenge of Combining Visual and Textual Data in AI Integrating visual and text data in artificial intelligence can be quite difficult. Traditional models often find it hard to accurately interpret visual documents like tables,…

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…

Bing Chat, Microsoft’s AI-driven search tool, has vulnerabilities that allow for the integration of malicious ads, potentially leading users to phishing sites and malware downloads. Malwarebytes has alerted Microsoft, but no action has been taken. Actions…