​[[{“value”:” You have likely already had the opportunity to interact with generative artificial intelligence (AI) tools (such as virtual assistants and chatbot applications) and noticed that you don’t always get the answer you are looking for, and that achieving it may not be straightforward. Large… Read More »Prompt engineering techniques and best practices: Learn by doing with Anthropic’s Claude 3 on Amazon Bedrock David Laredo AWS Machine Learning Blog

​[[{“value”:” Synthetic data generation has become crucial in training large language models (LLMs). This field focuses on creating artificial data sets that mimic real-world data, allowing researchers to train and evaluate machine learning models effectively without compromising privacy or requiring extensive data collection efforts. The… Read More »This AI Paper by Tencent AI Lab Researchers Introduces Persona-Hub: A Collection of One Billion Diverse Personas for Scaling Synthetic Data Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” With the recent advancement of deep generative models, the challenge of denoising has also become apparent. Diffusion models are trained and designed similarly to denoisers, and their modeled distributions agree with denoising priors when applied in a Bayesian setting. However, blind denoising, when these… Read More »Gibbs Diffusion (GDiff): A New Bayesian Blind Denoising Method with Applications in Image Denoising and Cosmology Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Peptides, being highly flexible biomolecules, are involved in numerous biological processes and are of great interest in therapeutic development. Knowing the peptides’ conformations is crucial for any research as their function depends on their shape. Understanding how a peptide folds allows researchers to design… Read More »Researchers at the University of Toronto Introduce a Deep-Learning Model that Outperforms Google AI System to Predict Peptide Structures Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Bilevel optimization (BO) is a growing field of research, gaining attention for its success in various machine learning tasks like hyperparameter optimization, meta-learning, and reinforcement learning. BO involves a two-level structure where the solution to the outer problem depends on the solution to the… Read More »ScaleBiO: A Novel Machine Learning Based Bilevel Optimization Method Capable of Scaling to 34B LLMs on Data Reweighting Tasks Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Business data analysis is a field that focuses on extracting actionable insights from extensive datasets, crucial for informed decision-making and maintaining a competitive edge. Traditional rule-based systems, while precise, need help with the complexity and dynamism of modern business data. On the other hand,… Read More »This AI Paper by Narrative BI Introduces a Hybrid Approach to Business Data Analysis with LLMs and Rule-Based Systems Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Ensuring the safety and moderation of user interactions with modern Language Models (LLMs) is a crucial challenge in AI. These models, if not properly safeguarded, can produce harmful content, fall victim to adversarial prompts (jailbreaks), and inadequately refuse inappropriate requests. Effective moderation tools are… Read More »WildGuard: A Light-weight, Multi-Purpose Moderation Tool for Assessing the Safety of User-LLM Interactions Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” It is observed that LLMs often struggle to retrieve relevant information from the middle of long input contexts, exhibiting a “lost-in-the-middle” behavior. The research paper addresses the critical issue of the performance of large language models (LLMs) when handling longer-context inputs. Specifically, LLMs like… Read More »Researchers at the University of Wisconsin-Madison Propose a Finetuning Approach Utilizing a Carefully Designed Synthetic Dataset Comprising Numerical Key-Value Retrieval Tasks Shreya Maji Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Amazon Q Business is a generative AI-powered assistant that can answer questions, provide summaries, generate content, and extract insights directly from the content in digital as well as scanned PDF documents in your enterprise data sources without needing to extract the text first. Customers across… Read More »Improve productivity when processing scanned PDFs using Amazon Q Business Sonali Sahu AWS Machine Learning Blog