PLMs have transformed Natural Language Processing, but their computational and memory needs pose challenges. The authors propose LoftQ, a quantization framework for pre-trained models. They combine low-rank approximation and quantization to approximate high-precision weights. Results show LoftQ outperforms QLoRA in various tasks, with improved performance in Rouge-1 for XSum and CNN/DailyMail using 4-bit quantization. Further…

YouTube Music has introduced a new feature that enables users to create custom cover art for their playlists using AI. Users can select from different categories, such as animals and nature, and ask the AI to create artwork based on specific prompts. The feature is currently only available to users in the US, but YouTube…

Generative AI systems are becoming more common and are being used in various fields. There is a growing need to assess the potential risks associated with their use, particularly in terms of public safety. Google DeepMind researchers have developed a framework to evaluate social and ethical hazards of AI systems. This framework considers the system’s…

We are pleased to announce the appointment of the new Executive Director of the Frontier Model Forum, in collaboration with Anthropic, Google, and Microsoft. Additionally, we are launching a $10 million AI Safety Fund.

The Federal Communications Commission (FCC) plans to investigate the impact of AI on robocalls, which continue to be a problem for consumers. In 2022, there were over 120,000 complaints received by the FCC regarding automated robocalls. FCC Chairwoman Jessica Rosenworcel intends to propose an inquiry to examine how AI technology affects illegal and unwanted robocalls.…

Language models like GPT and LLaMa have shown impressive performance but struggle with tasks involving tables. To address this, researchers propose table-tuning, which involves training models like GPT-3.5 and ChatGPT with table-related tasks. These table-tuned models, called Table-GPT, outperform standard models in understanding and manipulating tabular data while retaining generalizability. This table-tuning paradigm improves language…

Large language models are valuable tools for natural language processing tasks such as text summarization, sentiment analysis, translation, and chatbots. They can also recognize and categorize named entities in text and answer questions based on the information provided. A new model, MiniGPT-5, has been developed by researchers at the University of California, which combines vision…

This text provides instructions on how to calculate Tfidf values manually and using the sklearn library for Python. It can be found on the Towards Data Science website.

The article explores a framework called “The Contextual Scaffolds Framework” for effective prompt engineering. It discusses the importance of context in language interpretation and proposes two categories of context scaffolds: expectational context scaffold and operational context scaffold. The framework aims to align user expectations with model capabilities and provides a mental model for prompt crafting.…

Discover the latest enhancements and syntax changes in Pydantic V2.