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Advancements in Knowledge Distillation and Multi-Teacher Learning: Introducing AM-RADIO Framework

AI NewsMay 15, 202485Views0Likes0Comments
Knowledge Distillation has gained popularity for transferring the expertise of a “teacher” model to a smaller “student” model. Initially, an iterative learning process involving a high-capacity model is employed.  The student, with equal or greater capacity, is trained with extensive augmentation. Subsequently, the trained student expands the dataset through pseudo-labeling new data. Notably, the student…

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Flash 1.5, Gemma 2 and Project Astra

OpenAIMay 15, 2024100Views0Likes0Comments
1.5 Flash excels at summarization, chat applications, image and video captioning, data extraction from long documents and tables, and more. This is because it’s been trained by 1.5 Pro through a process called “distillation,” where the most essential knowledge and skills from a larger model are transferred to a smaller, more efficient model. Read more…

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How to copy an Excel table into Word

UncategorisedMay 14, 202474Views0Likes0Comments
Are you tired of the time-consuming and error-prone process of manually copying Excel tables into Word documents? Anyone who frequently works with data knows how frustrating it can be to ensure that your tables maintain their formatting and accuracy when transferred between applications. This comprehensive guide will explore various methods for seamlessly copying Excel tables…

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Why might a business use web scraping to collect data?

UncategorisedMay 13, 2024112Views0Likes0Comments
In today’s highly competitive business landscape, having access to updated and accurate data is imperative for an organization. However, constantly collecting and keeping this data updated is extremely time-consuming and resource-intensive. Hence, businesses must use automated data collection processes to gain a competitive advantage.  The digital age has ensured that most data organizations need is…

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Simplifying AI: A Dive into Lightweight Fine-Tuning Techniques | by Anurag Lahon

Human AiMay 11, 202485Views0Likes0Comments
In natural language processing (NLP), fine-tuning large pre-trained language models like BERT has become the standard for achieving state-of-the-art performance on downstream tasks. However, fine-tuning the entire model can be computationally expensive. The extensive resource requirements pose significant challenges. In this project, I explore using a parameter-efficient fine-tuning (PEFT) technique called LoRA to fine-tune BERT…

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Web Scraping for Market Research

NanonetsMay 10, 202490Views0Likes0Comments
In today’s highly competitive business landscape, staying ahead is a constant struggle for all organizations. To achieve this, businesses must be updated with the latest information about the market, customers, and competitors. Gathering information about any of these is known as market research.  Whether you are launching a new product or improving an existing one,…

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Stylus: An AI Tool that Automatically Finds and Adds the Best Adapters (LoRAs, Textual Inversions, Hypernetworks) to Stable Diffusion based on Your Prompt

AI NewsMay 10, 202495Views0Likes0Comments
Adopting finetuned adapters has become a cornerstone in generative image models, facilitating customized image creation while minimizing storage requirements. This transition has catalyzed the development of expansive open-source platforms, fostering communities to innovate and exchange various adapters and model checkpoints, thereby propelling the proliferation of creative AI art. With over 100,000 adapters now available, the…

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