​[[{“value”:” Generative models, particularly GANs, have demonstrated the ability to encode meaningful visual concepts linearly within their latent space, allowing for controlled image edits, such as altering facial attributes like age or gender. However, multi-step generative models like diffusion models must still identify this linear… Read More »weights2weights: A Subspace in Diffusion Weights that Behaves as an Interpretable Latent Space over Customized Diffusion Models Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have seen rapid advancements, making significant strides in algorithmic problem-solving tasks. These models are being integrated into algorithms to serve as general-purpose solvers, enhancing their performance and efficiency. This integration combines traditional algorithmic approaches with the advanced capabilities of LLMs,… Read More »This AI Paper from Alibaba Introduces a Formal Machine Learning Framework for Studying the Design and Analysis of LLM-based Algorithms Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Working with Lean, a popular proof assistant for formalizing mathematics, is challenging sometimes. The process of developing proofs in Lean can be time-consuming and complex, especially for those who are new to the system. This complexity can slow down the progress of formalizing mathematical… Read More »LLMLean: An AI Tool that Integrates LLMs and Lean for Tactic Suggestions and Proof Completion Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Google DeepMind has unveiled a significant addition to its family of lightweight, state-of-the-art models with the release of Gemma 2 2B. This release follows the previous release of the Gemma 2 series. It includes various new tools to enhance these models’ application and functionality… Read More »Gemma 2-2B Released: A 2.6 Billion Parameter Model Offering Advanced Text Generation, On-Device Deployment, and Enhanced Safety Features Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Time series data, representing observations recorded sequentially over time, permeate various aspects of nature and business, from weather patterns and heartbeats to stock prices and production metrics. Efficiently processing and forecasting these data series can offer significant advantages, such as strategic business planning and… Read More »Darts: A New Python Library for User-Friendly Forecasting and Anomaly Detection on Time Series Shreya Maji Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The quick development of Large Language Models (LLMs) has had a big impact on a number of different domains, like generative AI, Natural Language Understanding, and Natural Language Processing. However, hardware limitations have historically made running these models locally on a laptop, desktop, or… Read More »Meet Torchchat: A Flexible Framework for Accelerating Llama 3, 3.1, and Other Large Language Models Across Laptop, Desktop, and Mobile Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Direct Preference Optimization (DPO) is an advanced training method to fine-tune large language models (LLMs). Unlike traditional supervised fine-tuning, which depends on a single gold reference, DPO trains models to differentiate between the quality of various candidate outputs. This technique is crucial for aligning… Read More »How Important is the Reference Model in Direct Preference Optimization DPO? An Empirical Study on Optimal KL-Divergence Constraints and Necessity Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Early work established polynomial-time algorithms for finding the densest subgraph, followed by explorations of size-constrained variants and extensions to multiple graph snapshots. Researchers have also investigated overlapping dense subgraphs and alternative density measures. Various algorithmic approaches, including greedy and iterative methods, have been developed… Read More »Introducing JCDS and JWDS: Novel Approaches for Dense Subgraph Detection in Temporal Graphs Shoaib Nazir Artificial Intelligence Category – MarkTechPost