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Meet LLaMA-Adapter: A Lightweight Adaption Method For Fine-Tuning Instruction-Following LLaMA Models Using 52K Data Provided By Stanford Alpaca Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

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​ Large-scale corpora and cutting-edge hardware enable LLMs to generate models with extraordinary understanding and generative power, raising the bar for language problems. Recent developments in instruction-following models, such as ChatGPT1 and GPT-3.5, have achieved tremendous progress (text-davinci-003). They may produce professional and conversational responses… Read More »Meet LLaMA-Adapter: A Lightweight Adaption Method For Fine-Tuning Instruction-Following LLaMA Models Using 52K Data Provided By Stanford Alpaca Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

Meet xTuring: An Open-Source Tool That Allows You to Create Your Own Large Language Model (LLMs) With Only Three Lines of Code Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

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​ The practical implementation of a Large Language Model (LLM) for a bespoke application is currently difficult for the majority of individuals. It takes a lot of time and expertise to create an LLM that can generate content with high accuracy and speed for specialized… Read More »Meet xTuring: An Open-Source Tool That Allows You to Create Your Own Large Language Model (LLMs) With Only Three Lines of Code Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

This AI Paper Introduces a Novel Wavelet-Based Diffusion Framework that Demonstrates Superior Performance on both Image Fidelity and Sampling Speed Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

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​ Diffusion models have advanced significantly and attracted much study attention despite being recently presented. Such models reverse the diffusion process to produce clear, high-quality outputs from random noise inputs. Across various datasets, diffusion models can outperform cutting-edge generative adversarial networks (GANs) regarding generation quality.… Read More »This AI Paper Introduces a Novel Wavelet-Based Diffusion Framework that Demonstrates Superior Performance on both Image Fidelity and Sampling Speed Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

A Research Group from Stanford Studied the Possible Fine-Tuning Techniques to Generalize Latent Diffusion Models for Medical Imaging Domains Leonardo Tanzi Artificial Intelligence Category – MarkTechPost

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​ Latent diffusion models have greatly increased in popularity in recent years. Because their outstanding generating capabilities, these models can produce high-fidelity synthetic datasets that can be added to supervised machine learning pipelines in situations when training data is scarce, like medical imaging. Moreover, such… Read More »A Research Group from Stanford Studied the Possible Fine-Tuning Techniques to Generalize Latent Diffusion Models for Medical Imaging Domains Leonardo Tanzi Artificial Intelligence Category – MarkTechPost

Cerebras Releases 7 GPT-based Large Language Models for Generative AI Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

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​ Rising entry barriers are hindering AI’s potential to revolutionize global trade. OpenAI’s GPT4 is the most recent big language model to be disclosed. However, the model’s architecture, training data, hardware, and hyperparameters are kept secret. Large models are increasingly being constructed by businesses, with… Read More »Cerebras Releases 7 GPT-based Large Language Models for Generative AI Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

Snapper provides machine learning-assisted labeling for pixel-perfect image object detection Jonathan Buck AWS Machine Learning Blog

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​ Bounding box annotation is a time-consuming and tedious task that requires annotators to create annotations that tightly fit an object’s boundaries. Bounding box annotation tasks, for example, require annotators to ensure that all edges of an annotated object are enclosed in the annotation. In… Read More »Snapper provides machine learning-assisted labeling for pixel-perfect image object detection Jonathan Buck AWS Machine Learning Blog