​[[{“value”:” Embeddings are integral to various natural language processing (NLP) applications, and their quality is crucial for optimal performance. They are commonly used in knowledge bases to represent textual data as dense vectors, enabling efficient similarity search and retrieval. In Retrieval Augmented Generation (RAG), embeddings… Read More »Get started with Amazon Titan Text Embeddings V2: A new state-of-the-art embeddings model on Amazon Bedrock Shreyas Subramanian AWS Machine Learning Blog

​[[{“value”:” Harnessing optimized AI models for healthcare is easier than ever as NVIDIA NIM, a collection of cloud-native microservices, integrates with Amazon Web Services. NIM, part of the NVIDIA AI Enterprise software platform available on AWS Marketplace, enables developers to access a growing library of… Read More »NVIDIA AI Microservices for Drug Discovery, Digital Health Now Integrated With AWS Lyndi Wu – Archives Page 1 | NVIDIA Blog

​ Originally Published on Stefan Speaks Continue reading on Becoming Human: Artificial Intelligence Magazine »  Originally Published on Stefan SpeaksContinue reading on Becoming Human: Artificial Intelligence Magazine »  Read More sensemaking, meaning, perspective, reality, perception 

​[[{“value”:” This study’s research area is artificial intelligence (AI) and machine learning, specifically focusing on neural networks that can understand binary code. The aim is to automate reverse engineering processes by training AI to understand binaries and provide English descriptions. This is important because binaries… Read More »Bridging the Binary Gap: Challenges in Training Neural Networks to Decode and Summarize Code Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recent advancements in econometric modeling and hypothesis testing have witnessed a paradigm shift towards integrating machine learning techniques. While strides have been made in estimating econometric models of human behavior, more research still needs to be conducted on effectively generating and rigorously testing these… Read More »This AI Paper from MIT and Harvard Demonstrates an AI Approach to Automated in Silico Hypothesis Generation and Testing Made Possible Through the Use of SCMs Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The development of natural language processing has been significantly propelled by the advancements in large language models (LLMs). These models have showcased remarkable performance in tasks like translation, question answering, and text summarization, proving their efficiency in generating high-quality text. However, despite their effectiveness,… Read More »Huawei AI Introduces ‘Kangaroo’: A Novel Self-Speculative Decoding Framework Tailored for Accelerating the Inference of Large Language Models Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Imagine you’re looking for the perfect gift for your kid – a fun yet safe tricycle that ticks all the boxes. You might search with a query like “Can you help me find a push-along tricycle from Radio Flyer that’s both fun and safe… Read More »Researchers from Stanford and Amazon Developed STARK: A Large-Scale Semi-Structure Retrieval AI Benchmark on Textual and Relational Knowledge Bases Vineet Kumar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Fine-tuning large language models (LLMs) efficiently and effectively is a common challenge. Imagine you have a massive LLM that needs adjustments or training for specific tasks, but the process is slow and resource-intensive. This can slow down the progress and make it difficult to… Read More »XTuner: An Efficient, Flexible, and Full-Featured AI Toolkit for Fine-Tuning Large Models Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Many applications have used large language models (LLMs). However, when deployed to GPU servers, their high memory and computing demands result in substantial energy and financial expenditures.  Some acceleration solutions can be used with laptop commodity GPUs, but their precision could be better. Although… Read More »LayerSkip: An End-to-End AI Solution to Speed-Up Inference of Large Language Models (LLMs) Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Gene editing is a cornerstone of modern biotechnology. It enables the precise manipulation of genetic material, which has implications across various fields, from medicine to agriculture. Recent innovations have pushed the boundaries of this technology, providing tools that enhance precision and expand applicability. The… Read More »This AI Paper from Princeton and Stanford Introduces CRISPR-GPT For Innovative Gene-Editing Enhancements Nikhil Artificial Intelligence Category – MarkTechPost