​ The biggest advancement in the field of Artificial Intelligence is the introduction of Large Language Models (LLMs). These Natural Language Processing (NLP) based models handle large and complicated datasets, which causes them to face a unique challenge in the finance industry. The fields of… Read More »Meet DISC-FinLLM: A Chinese Financial Large Language Model (LLM) Based On Multiple Experts Fine-Tuning Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Emotional intelligence is a historically placed cornerstone within the vast mosaic of human qualities. Emotional understanding is the ability to recognize and correctly process emotional data and then use that data to guide logical and analytical processes like problem resolution and behavioral management. Reflexes,… Read More »Microsoft Researchers Unveil ‘EmotionPrompt’: Enhancing AI Emotional Intelligence Across Multiple Language Models Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Large Language Models (LLMs) have taken the world by storm because of their remarkable performances and potential across a diverse range of tasks. They are best known for their capabilities in text generation, language understanding, text summarization and many more. The downside to their… Read More »Intel Researchers Propose a New Artificial Intelligence Approach to Deploy LLMs on CPUs More Efficiently Arham Islam Artificial Intelligence Category – MarkTechPost

​Posted by Katherine Heller, Research Scientist, Google Research, on behalf of the CAIR Team Artificial intelligence (AI) and related machine learning (ML) technologies are increasingly influential in the world around us, making it imperative that we consider the potential impacts on society and individuals in… Read More »Responsible AI at Google Research: Context in AI Research (CAIR) Google AI Google AI Blog

​ The global community faces a challenge in tackling the impact of rising carbon dioxide (CO2) levels on climate change. To address this, innovative technologies are being developed. Direct Air Capture (DAC) is a very important approach. DAC involves capturing CO2 directly from the atmosphere,… Read More »Meta & GeorgiaTech Researchers Release a New Dataset and Associated AI Models to Help Accelerate Research on Direct Air Capture to Combat Climate Change Rachit Ranjan Artificial Intelligence Category – MarkTechPost

​Posted by Kevin Miao and Matt McEwen, Research Scientists, Quantum AI Team The qubits that make up Google quantum devices are delicate and noisy, so it’s necessary to incorporate error correction procedures that identify and account for qubit errors on the way to building a… Read More »Overcoming leakage on error-corrected quantum processors Google AI Google AI Blog

​ During my teaching at the Asia Pacific ESSEC Master in Management on the vibrant Singapore campus, we delved into a pivotal discussion about the intersection of AI and sustainability. It was in this forum that we unpacked the necessity of demystifying technology to see… Read More »Future-Proofing Our Interns: Cultivating the Next Generation Amidst AI’s Corporate March Christophe Pennetier Artificial Intelligence Category – MarkTechPost

​ Building out a machine learning operations (MLOps) platform in the rapidly evolving landscape of artificial intelligence (AI) and machine learning (ML) for organizations is essential for seamlessly bridging the gap between data science experimentation and deployment while meeting the requirements around model performance, security,… Read More »Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD Gayatri Ghanakota AWS Machine Learning Blog

​ Generative AI models for coding companions are mostly trained on publicly available source code and natural language text. While the large size of the training corpus enables the models to generate code for commonly used functionality, these models are unaware of code in private… Read More »Customizing coding companions for organizations Qing Sun AWS Machine Learning Blog

​ Large language models have shown previously unheard-of proficiency in language creation and comprehension, paving the way for advances in logic, mathematics, physics, and other fields. But LLM training is quite expensive. To train a 540B model, for instance, PaLM needs 6,144 TPUv4 chips, whereas… Read More »Microsoft Researchers Unveil FP8 Mixed-Precision Training Framework: Supercharging Large Language Model Training Efficiency Aneesh Tickoo Artificial Intelligence Category – MarkTechPost