​[[{“value”:” This is a guest post co-written with Scott Gutterman from the PGA TOUR. Generative artificial intelligence (generative AI) has enabled new possibilities for building intelligent systems. Recent improvements in Generative AI based large language models (LLMs) have enabled their use in a variety of… Read More »The journey of PGA TOUR’s generative AI virtual assistant, from concept to development to prototype Ahsan Ali AWS Machine Learning Blog

​[[{“value”:” In the world of software development, code review and approval are important processes for ensuring the quality, security, and functionality of the software being developed. However, managers tasked with overseeing these critical processes often face numerous challenges, such as the following: Lack of technical… Read More »Enhance code review and approval efficiency with generative AI using Amazon Bedrock Xan Huang AWS Machine Learning Blog

​[[{“value”:”Posted by Yun Zhu and Lijuan Liu, Software Engineers, Google Research Large language model (LLM) advancements have led to a new paradigm that unifies various natural language processing (NLP) tasks within an instruction-following framework. This paradigm is exemplified by recent multi-task LLMs, such as T0,… Read More »Cappy: Outperforming and boosting large multi-task language models with a small scorer Google AI Google AI Blog

​[[{“value”:” Generative AI applications driven by foundational models (FMs) are enabling organizations with significant business value in customer experience, productivity, process optimization, and innovations. However, adoption of these FMs involves addressing some key challenges, including quality output, data privacy, security, integration with organization data, cost,… Read More »Best practices to build generative AI applications on AWS Jay Rao AWS Machine Learning Blog

​ Over the past few months, we have published a lot of high-quality content on AI, LLMs, RAG, Knowledge Bases, and our experiments with Chatbots. Even though this content is AI-focused, there is an inherent Philosophical and Psychological connection as we get into biases, semantics,… Read More »When do you want to Receive our Articles? Stefan Kojouharov Becoming Human: Artificial Intelligence Magazine – Medium

​ Over the past few months, I have published a lot of high quality content on AI, LLMs, RAG, Knowledge Bases and on the experiments we are running. Even though this content is AI focused, there is an inherently Philosophical and Psychological connection as we get… Read More »When do you want to see my Articles? Stefan Kojouharov Chatbots Life – Medium

​[[{“value”:” Diffusion models have gained prominence in image, video, and audio generation, but their sampling process is computationally expensive compared to training. Consistency Models offer faster sampling but sacrifice image quality, with Consistency Training (CT) and Consistency Distillation (CD) being the variants. TRACT focuses on… Read More »Google DeepMind Researchers Unveil Multistep Consistency Models: A Machine Learning Approach that Balances Speed and Quality in AI Sampling Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” With diffusion models, the field of text-to-image generation has made significant advances. However, current models frequently use CLIP as their text encoder, which restricts their capacity to comprehend complicated prompts with many items, minute details, complex relationships, and broad text alignment. To overcome these… Read More »This AI Paper from Tencent Introduces ELLA: A Machine Learning Method that Equips Current Text-to-Image Diffusion Models with State-of-the-Art Large Language Models without the Training of LLM and U-Net Vibhanshu Patidar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the realm of artificial intelligence, bridging the gap between vision and language has been a formidable challenge. Yet, it harbors immense potential to revolutionize how machines understand and interact with the world. This article delves into the innovative research paper that introduces Strongly… Read More »Researchers from Stanford and AWS AI Labs Unveil S4: A Groundbreaking Approach to Pre-Training Vision-Language Models Using Web Screenshots Vineet Kumar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the realm of 3D generative AI, the boundaries between 3D generation and 3D reconstruction from a small number of views have started to blur. This convergence is propelled by a series of breakthroughs, including the emergence of large-scale public 3D datasets and advancements… Read More »This AI Research from Stability AI and Tripo AI Introduces TripoSR Model for Fast FeedForward 3D Generation from a Single Image Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost