Researchers from Qualcomm AI Research Introduced CodeIt: Combining Program Sampling and Hindsight Relabeling for Program Synthesis

Sarvam AI Unveils Sarvam-2B: A Language Model Focused on Indic Languages Practical Solutions and Value Sarvam AI introduces Sarvam-2B, a language model with 2 billion parameters, emphasizing Indic language processing. The model is pre-trained on a…

Researchers from ETH Zurich and Microsoft introduce SCREWS, a modular framework for improving reasoning in Large Language Models (LLMs). The framework includes three core components: Sampling, Conditional Resampling, and Selection. By combining different techniques, SCREWS improves…

The NYPD has partnered with tech company Truleo to use AI to analyze police body-worn camera footage. Truleo’s software categorizes officers’ language and scores interactions as “professional” or “unprofessional.” Meanwhile, in the UK, there are plans…

Transformer-based models like Gemini by Google and GPT models by OpenAI have shown exceptional performance in NLP and NLG, but struggle with length generalization. Google DeepMind researchers studied the Transformer’s ability to handle longer sequences and…

Billionaire Vinod Khosla, an early AI backer, predicts that AI will have a profound impact on the global economy. He anticipates significant deflation over the next twenty-five years, with traditional economic gauges becoming less relevant. Khosla’s…

Large Language Models (LLMs) have advanced in AI and NLP. Fireworks.ai introduced FireLLaVA under Llama 2 Community License, addressing restrictions of Vision-Language Model LLaVA. It supports multi-modal AI development, using OSS models for training data. FireLLaVA…

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Stroke is a major cause of lasting disability globally, affecting over 15 million people annually. About 75% of stroke survivors suffer from arm and hand impairments, relying on their stronger arm for everyday activities. However, their…

The rise of transformation tools in the data industry has led to the emergence of new roles such as Analytics Engineer and Data Platform Leaders. One of these roles, the Data Strategist, is becoming increasingly important…

Understanding Retrieval-Augmented Generation (RAG) Systems Retrieval-augmented generation (RAG) systems combine retrieving information and generating responses to tackle complex questions. This method provides answers with more context and insights compared to models that only generate responses. RAG…

New text-to-image models have advanced, enabling revolutionary applications like creating images from text. However, existing approaches struggle to consistently produce content across zoom levels. A study by the University of Washington, Google, and UC Berkeley introduces…

Fine-tuning commercial language models (LLMs) can bypass safety measures and lead to dangerous responses. Researchers found that fine-tuning GPT-3.5 with malicious examples deactivated its safety switch. This raises concerns about the safety and liability of fine-tuned…

According to an academic, Artificial Intelligence (AI) and algorithms have the potential to fuel racism, political instability, polarization, and radicalization. These technologies, which are not limited to national security agencies, can contribute to political violence and…

TalkToModel is a new platform that enables users to have open conversations with machine learning models. It allows users to understand and communicate with the models using natural language and also provides explanations of their predictions…

The article discusses the limitations of classical diffusion models in image generation and introduces the Quantum Denoising Diffusion Probabilistic Models (QDDPM) as a potential solution. It compares QDDPM with newly proposed Quantum U-Net (QU-Net) and Q-Dense…

DeepSwap is an AI-based tool that allows users to create convincing deepfake videos and images easily. Aragon uses AI technology to create professional headshots quickly. AdCreative.ai is an AI solution for boosting advertising and social media…

Practical Solutions for Process Mining Enhancement Introduction to Process Mining Process mining involves analyzing event logs from information systems to understand business processes, optimizing workflows, and identifying areas for improvement. Challenges in Process Mining Dealing with…